Records |
Author |
Sergio Vera; Miguel Angel Gonzalez Ballester; Debora Gil |
Title |
A medial map capturing the essential geometry of organs |
Type |
Conference Article |
Year |
2012 |
Publication |
ISBI Workshop on Open Source Medical Image Analysis software |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
|
Issue |
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Pages |
1691 - 1694 |
Keywords |
Medial Surface Representation, Volume Reconstruction,Geometry , Image reconstruction , Liver , Manifolds , Shape , Surface morphology , Surface reconstruction |
Abstract |
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Accurate computation of one pixel wide medial surfaces is mandatory. Those surfaces must represent faithfully the geometry of the volume. Although morphological methods produce excellent results in 2D, their complexity and quality drops across dimensions, due to a more complex description of pixel neighborhoods. This paper introduces a continuous operator for accurate and efficient computation of medial structures of arbitrary dimension. Our experiments show its higher performance for medical imaging applications in terms of simplicity of medial structures and capability for reconstructing the anatomical volume |
Address |
Barcelona,Spain |
Corporate Author |
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Thesis |
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Publisher |
IEEE |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
|
ISSN |
1945-7928 |
ISBN |
978-1-4577-1857-1 |
Medium |
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Area |
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Expedition |
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Conference |
ISBI |
Notes |
IAM |
Approved |
no |
Call Number |
IAM @ iam @ VGG2012a |
Serial |
1989 |
Permanent link to this record |
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Author |
Patricia Marquez;Debora Gil;Aura Hernandez-Sabate |
Title |
A Complete Confidence Framework for Optical Flow |
Type |
Conference Article |
Year |
2012 |
Publication |
12th European Conference on Computer Vision – Workshops and Demonstrations |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
|
Volume |
7584 |
Issue |
2 |
Pages |
124-133 |
Keywords |
Optical flow, confidence measures, sparsification plots, error prediction plots |
Abstract |
Medial representations are powerful tools for describing and parameterizing the volumetric shape of anatomical structures. Existing methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds in two aspects. First, we provide a standard scheme for the computation of medial manifolds that avoid degenerated medial axis segments; second, we introduce an energy based method which performs independently of the dimension. We evaluate quantitatively the performance of our method with respect to existing approaches, by applying them to synthetic shapes of known medial geometry. Finally, we show results on shape representation of multiple abdominal organs, exploring the use of medial manifolds for the representation of multi-organ relations. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer-Verlag |
Place of Publication |
Florence, Italy, October 7-13, 2012 |
Editor |
Andrea Fusiello, Vittorio Murino ,Rita Cucchiara |
Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
|
ISBN |
978-3-642-33867-0 |
Medium |
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Area |
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Expedition |
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Conference |
ECCVW |
Notes |
IAM;ADAS; |
Approved |
no |
Call Number |
IAM @ iam @ MGH2012b |
Serial |
1991 |
Permanent link to this record |
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Author |
Ricard Borras; Agata Lapedriza; Laura Igual |
Title |
Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition |
Type |
Conference Article |
Year |
2012 |
Publication |
9th International Conference on Image Analysis and Recognition |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
7325 |
Issue |
II |
Pages |
98-105 |
Keywords |
|
Abstract |
This work presents DGait, a new gait database acquired with a depth camera. This database contains videos from 53 subjects walking in different directions. The intent of this database is to provide a public set to explore whether the depth can be used as an additional information source for gait classification purposes. Each video is labelled according to subject, gender and age. Furthermore, for each subject and view point, we provide initial and final frames of an entire walk cycle. On the other hand, we perform gait-based gender classification experiments with DGait database, in order to illustrate the usefulness of depth information for this purpose. In our experiments, we extract 2D and 3D gait features based on shape descriptors, and compare the performance of these features for gender identification, using a Kernel SVM. The obtained results show that depth can be an information source of great relevance for gait classification problems. |
Address |
Aveiro, Portugal |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-31297-7 |
Medium |
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Area |
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Expedition |
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Conference |
ICIAR |
Notes |
OR; MILAB;MV |
Approved |
no |
Call Number |
Admin @ si @ BLI2012 |
Serial |
2009 |
Permanent link to this record |
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Author |
Albert Clapes; Miguel Reyes; Sergio Escalera |
Title |
User Identification and Object Recognition in Clutter Scenes Based on RGB-Depth Analysis |
Type |
Conference Article |
Year |
2012 |
Publication |
7th Conference on Articulated Motion and Deformable Objects |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
7378 |
Issue |
|
Pages |
1-11 |
Keywords |
|
Abstract |
We propose an automatic system for user identification and object recognition based on multi-modal RGB-Depth data analysis. We model a RGBD environment learning a pixel-based background Gaussian distribution. Then, user and object candidate regions are detected and recognized online using robust statistical approaches over RGBD descriptions. Finally, the system saves the historic of user-object assignments, being specially useful for surveillance scenarios. The system has been evaluated on a novel data set containing different indoor/outdoor scenarios, objects, and users, showing accurate recognition and better performance than standard state-of-the-art approaches. |
Address |
Mallorca |
Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-31566-4 |
Medium |
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Area |
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Expedition |
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Conference |
AMDO |
Notes |
HUPBA;MILAB |
Approved |
no |
Call Number |
Admin @ si @ CRE2012 |
Serial |
2010 |
Permanent link to this record |
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Author |
Diego Cheda; Daniel Ponsa; Antonio Lopez |
Title |
Monocular Egomotion Estimation based on Image Matching |
Type |
Conference Article |
Year |
2012 |
Publication |
1st International Conference on Pattern Recognition Applications and Methods |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
425-430 |
Keywords |
SLAM |
Abstract |
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Address |
Portugal |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
ICPRAM |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ CPL2012a;; ADAS @ adas @ |
Serial |
2011 |
Permanent link to this record |
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Author |
Diego Cheda; Daniel Ponsa; Antonio Lopez |
Title |
Monocular Depth-based Background Estimation |
Type |
Conference Article |
Year |
2012 |
Publication |
7th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
323-328 |
Keywords |
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Abstract |
In this paper, we address the problem of reconstructing the background of a scene from a video sequence with occluding objects. The images are taken by hand-held cameras. Our method composes the background by selecting the appropriate pixels from previously aligned input images. To do that, we minimize a cost function that penalizes the deviations from the following assumptions: background represents objects whose distance to the camera is maximal, and background objects are stationary. Distance information is roughly obtained by a supervised learning approach that allows us to distinguish between close and distant image regions. Moving foreground objects are filtered out by using stationariness and motion boundary constancy measurements. The cost function is minimized by a graph cuts method. We demonstrate the applicability of our approach to recover an occlusion-free background in a set of sequences. |
Address |
Roma |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
VISAPP |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ CPL2012b; ADAS @ adas @ cpl2012e |
Serial |
2012 |
Permanent link to this record |
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Author |
Diego Cheda; Daniel Ponsa; Antonio Lopez |
Title |
Pedestrian Candidates Generation using Monocular Cues |
Type |
Conference Article |
Year |
2012 |
Publication |
IEEE Intelligent Vehicles Symposium |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
7-12 |
Keywords |
pedestrian detection |
Abstract |
Common techniques for pedestrian candidates generation (e.g., sliding window approaches) are based on an exhaustive search over the image. This implies that the number of windows produced is huge, which translates into a significant time consumption in the classification stage. In this paper, we propose a method that significantly reduces the number of windows to be considered by a classifier. Our method is a monocular one that exploits geometric and depth information available on single images. Both representations of the world are fused together to generate pedestrian candidates based on an underlying model which is focused only on objects standing vertically on the ground plane and having certain height, according with their depths on the scene. We evaluate our algorithm on a challenging dataset and demonstrate its application for pedestrian detection, where a considerable reduction in the number of candidate windows is reached. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1931-0587 |
ISBN |
978-1-4673-2119-8 |
Medium |
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Area |
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Expedition |
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Conference |
IV |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ CPL2012c; ADAS @ adas @ cpl2012d |
Serial |
2013 |
Permanent link to this record |
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Author |
Fernando Barrera; Felipe Lumbreras; Angel Sappa |
Title |
Evaluation of Similarity Functions in Multimodal Stereo |
Type |
Conference Article |
Year |
2012 |
Publication |
9th International Conference on Image Analysis and Recognition |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
7324 |
Issue |
I |
Pages |
320-329 |
Keywords |
Aveiro, Portugal |
Abstract |
This paper presents an evaluation framework for multimodal stereo matching, which allows to compare the performance of four similarity functions. Additionally, it presents details of a multimodal stereo head that supply thermal infrared and color images, as well as, aspects of its calibration and rectification. The pipeline includes a novel method for the disparity selection, which is suitable for evaluating the similarity functions. Finally, a benchmark for comparing different initializations of the proposed framework is presented. Similarity functions are based on mutual information, gradient orientation and scale space representations. Their evaluation is performed using two metrics: i) disparity error, and ii) number of correct matches on planar regions. In addition to the proposed evaluation, the current paper also shows that 3D sparse representations can be recovered from such a multimodal stereo head. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
978-3-642-31294-6 |
Medium |
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Area |
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Expedition |
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Conference |
ICIAR |
Notes |
ADAS |
Approved |
no |
Call Number |
BLS2012a |
Serial |
2014 |
Permanent link to this record |
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Author |
Miguel Oliveira; Angel Sappa; V. Santos |
Title |
Color Correction using 3D Gaussian Mixture Models |
Type |
Conference Article |
Year |
2012 |
Publication |
9th International Conference on Image Analysis and Recognition |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
7324 |
Issue |
I |
Pages |
97-106 |
Keywords |
|
Abstract |
The current paper proposes a novel color correction approach based on a probabilistic segmentation framework by using 3D Gaussian Mixture Models. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. The proposed approach is evaluated using both a recently published metric and two large data sets composed of seventy images. The evaluation is performed by comparing our algorithm with eight well known color correction algorithms. Results show that the proposed approach is the highest scoring color correction method. Also, the proposed single step 3D color space probabilistic segmentation reduces processing time over similar approaches. |
Address |
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Corporate Author |
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Thesis |
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Publisher |
Springer Berlin Heidelberg |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
LNCS |
Series Volume |
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Series Issue |
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Edition |
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ISSN |
0302-9743 |
ISBN |
10.1007/978-3-642-31295-3_12 |
Medium |
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Area |
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Expedition |
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Conference |
ICIAR |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ OSS2012a |
Serial |
2015 |
Permanent link to this record |
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Author |
Fernando Barrera; Felipe Lumbreras; Cristhian Aguilera; Angel Sappa |
Title |
Planar-Based Multispectral Stereo |
Type |
Conference Article |
Year |
2012 |
Publication |
11th Quantitative InfraRed Thermography |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Pages |
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Keywords |
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Abstract |
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Address |
Naples, Italy |
Corporate Author |
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Place of Publication |
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Series Editor |
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Edition |
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Area |
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Expedition |
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Conference |
QIRT |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ BLA2012 |
Serial |
2016 |
Permanent link to this record |
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Author |
Cristhian Aguilera; Fernando Barrera; Angel Sappa; Ricardo Toledo |
Title |
A Novel SIFT-Like-Based Approach for FIR-VS Images Registration |
Type |
Conference Article |
Year |
2012 |
Publication |
11th Quantitative InfraRed Thermography |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Pages |
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Keywords |
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Abstract |
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Address |
Naples, Italy |
Corporate Author |
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Publisher |
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Place of Publication |
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Editor |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Edition |
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ISSN |
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ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
QIRT |
Notes |
ADAS; TV |
Approved |
no |
Call Number |
Admin @ si @ ABS2012 |
Serial |
2017 |
Permanent link to this record |
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Author |
Monica Piñol; Angel Sappa; Angeles Lopez; Ricardo Toledo |
Title |
Feature Selection Based on Reinforcement Learning for Object Recognition |
Type |
Conference Article |
Year |
2012 |
Publication |
Adaptive Learning Agents Workshop |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
33-39 |
Keywords |
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Abstract |
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Address |
Valencia |
Corporate Author |
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Thesis |
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Publisher |
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Expedition |
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Conference |
ALA |
Notes |
ADAS; RV |
Approved |
no |
Call Number |
Admin @ si @ PSL2012 |
Serial |
2018 |
Permanent link to this record |
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Author |
German Ros; Angel Sappa; Daniel Ponsa; Antonio Lopez |
Title |
Visual SLAM for Driverless Cars: A Brief Survey |
Type |
Conference Article |
Year |
2012 |
Publication |
IEEE Workshop on Navigation, Perception, Accurate Positioning and Mapping for Intelligent Vehicles |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
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Keywords |
SLAM |
Abstract |
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Address |
Alcalá de Henares |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Summary Language |
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Expedition |
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Conference |
IVW |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ RSP2012; ADAS @ adas |
Serial |
2019 |
Permanent link to this record |
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Author |
Naveen Onkarappa; Angel Sappa |
Title |
An Empirical Study on Optical Flow Accuracy Depending on Vehicle Speed |
Type |
Conference Article |
Year |
2012 |
Publication |
IEEE Intelligent Vehicles Symposium |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
1138-1143 |
Keywords |
|
Abstract |
Driver assistance and safety systems are getting attention nowadays towards automatic navigation and safety. Optical flow as a motion estimation technique has got major roll in making these systems a reality. Towards this, in the current paper, the suitability of polar representation for optical flow estimation in such systems is demonstrated. Furthermore, the influence of individual regularization terms on the accuracy of optical flow on image sequences of different speeds is empirically evaluated. Also a new synthetic dataset of image sequences with different speeds is generated along with the ground-truth optical flow. |
Address |
Alcalá de Henares |
Corporate Author |
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Thesis |
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Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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Language |
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Summary Language |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Edition |
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ISSN |
1931-0587 |
ISBN |
978-1-4673-2119-8 |
Medium |
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Area |
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Expedition |
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Conference |
IV |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ NaS2012 |
Serial |
2020 |
Permanent link to this record |
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Author |
Miguel Oliveira; Angel Sappa; V. Santos |
Title |
Color Correction for Onboard Multi-camera Systems using 3D Gaussian Mixture Models |
Type |
Conference Article |
Year |
2012 |
Publication |
IEEE Intelligent Vehicles Symposium |
Abbreviated Journal ![sorted by Abbreviated Journal field, descending order (down)](img/sort_desc.gif) |
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Volume |
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Issue |
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Pages |
299-303 |
Keywords |
|
Abstract |
The current paper proposes a novel color correction approach for onboard multi-camera systems. It works by segmenting the given images into several regions. A probabilistic segmentation framework, using 3D Gaussian Mixture Models, is proposed. Regions are used to compute local color correction functions, which are then combined to obtain the final corrected image. An image data set of road scenarios is used to establish a performance comparison of the proposed method with other seven well known color correction algorithms. Results show that the proposed approach is the highest scoring color correction method. Also, the proposed single step 3D color space probabilistic segmentation reduces processing time over similar approaches. |
Address |
Alcalá de Henares |
Corporate Author |
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Thesis |
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Publisher |
IEEE Xplore |
Place of Publication |
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Editor |
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Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Edition |
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ISSN |
1931-0587 |
ISBN |
978-1-4673-2119-8 |
Medium |
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Area |
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Expedition |
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Conference |
IV |
Notes |
ADAS |
Approved |
no |
Call Number |
Admin @ si @ OSS2012b |
Serial |
2021 |
Permanent link to this record |