|
Records |
Links |
|
Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Photometric Stereo through and Adapted Alternation Approach |
Type |
Conference Article |
|
Year |
2008 |
Publication |
IEEE International Conference on Image Processing, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
1500–1503 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
San Diego; CA; USA |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ JSL2008d |
Serial |
1016 |
|
Permanent link to this record |
|
|
|
|
Author |
Angel Sappa; Fadi Dornaika; David Geronimo; Antonio Lopez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Registration-based Moving Object Detection from a Moving Camera |
Type |
Conference Article |
|
Year |
2008 |
Publication |
IROS2008 2nd Workshop on Perception, Planning and Navigation for Intelligent Vehicles |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
65–69 |
|
|
Keywords |
|
|
|
Abstract |
This paper presents a robust approach for detecting moving objects from on-board stereo vision systems. It relies on a feature point quaternion-based registration, which avoids common problems that appear when computationally expensive iterative-based algorithms are used on dynamic environments. The proposed approach consists of three stages. Initially, feature points are extracted and tracked through consecutive frames. Then, a RANSAC based approach is used for registering
two 3D point sets with known correspondences by means of the quaternion method. Finally, the computed 3D rigid displacement is used to map two consecutive frames into the same coordinate system. Moving objects correspond to those areas with large registration errors. Experimental results, in different scenarios, show the viability of the proposed approach. |
|
|
Address |
Nice (France) |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ SDG2008 |
Serial |
1017 |
|
Permanent link to this record |
|
|
|
|
Author |
Carme Julia; Angel Sappa; Felipe Lumbreras; Joan Serrat; Antonio Lopez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
|
|
Title |
An Adapted Alternation Approach for Recommender Systems |
Type |
Conference Article |
|
Year |
2008 |
Publication |
IEEE International Conference on e–Business Engineering, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
128–135 |
|
|
Keywords |
|
|
|
Abstract |
This paper presents an adaptation of the alternation technique to tackle the prediction task in recommender systems. These systems are widely considered in electronic commerce to help customers to find products they will probably like or dislike. As the SVD-based approaches, the proposed adapted alternation technique uses all the information stored in the system to find the predictions. The main advantage of this technique with respect to the SVD-based ones is that it can deal with missing data. Furthermore, it has a smaller computational cost. Experimental results with public data sets are provided in order to show the viability of the proposed adapted alternation approach. |
|
|
Address |
Xi’an (Xina) |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ JSL2008e |
Serial |
1044 |
|
Permanent link to this record |
|
|
|
|
Author |
Jose Manuel Alvarez; Antonio Lopez; Ramon Baldrich |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
|
|
Title |
Illuminant Invariant Model-Based Road Segmentation |
Type |
Conference Article |
|
Year |
2008 |
Publication |
IEEE Intelligent Vehicles Symposium, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
1155–1180 |
|
|
Keywords |
road detection |
|
|
Abstract |
|
|
|
Address |
Eindhoven (The Netherlands) |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
|
|
|
Notes |
ADAS;CIC |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ ALB2008 |
Serial |
1045 |
|
Permanent link to this record |
|
|
|
|
Author |
Jose Manuel Alvarez; Antonio Lopez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
|
|
Title |
Novel Index for Objective Evaluation of Road Detection Algorithms |
Type |
Conference Article |
|
Year |
2008 |
Publication |
Intelligent Transportation Systems. 11th International IEEE Conference on, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
815–820 |
|
|
Keywords |
road detection |
|
|
Abstract |
|
|
|
Address |
Beijing (Xina) |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ITSC |
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ AlL2008 |
Serial |
1074 |
|
Permanent link to this record |
|
|
|
|
Author |
Antonio Lopez; J. Hilgenstock; A. Busse; Ramon Baldrich; Felipe Lumbreras; Joan Serrat |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
|
|
Title |
Nightime Vehicle Detecion for Intelligent Headlight Control |
Type |
Conference Article |
|
Year |
2008 |
Publication |
Advanced Concepts for Intelligent Vision Systems, 10th International Conference, Proceedings, |
Abbreviated Journal |
|
|
|
Volume |
5259 |
Issue |
|
Pages |
113–124 |
|
|
Keywords |
Intelligent Headlights; vehicle detection |
|
|
Abstract |
|
|
|
Address |
Juan-les-Pins, France |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
LNCS |
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ACIVS |
|
|
Notes |
ADAS;CIC |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ LHB2008a |
Serial |
1098 |
|
Permanent link to this record |
|
|
|
|
Author |
Arnau Ramisa; Adriana Tapus; Ramon Lopez de Mantaras; Ricardo Toledo |
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Mobile Robot Localization using Panoramic Vision and Combination of Feature Region Detectors |
Type |
Conference Article |
|
Year |
2008 |
Publication |
IEEE International Conference on Robotics and Automation, |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
538–543 |
|
|
Keywords |
|
|
|
Abstract |
|
|
|
Address |
Pasadena; CA; USA |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
|
ISBN |
|
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ICRA |
|
|
Notes |
RV;ADAS |
Approved |
no |
|
|
Call Number |
Admin @ si @ RTL2008 |
Serial |
1144 |
|
Permanent link to this record |
|
|
|
|
Author |
Jose Manuel Alvarez; Theo Gevers; Antonio Lopez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find book details (via ISBN) isbn](http://refbase.cvc.uab.es/img/isbn.gif)
|
|
Title |
Learning Photometric Invariance from Diversified Color Model Ensembles |
Type |
Conference Article |
|
Year |
2009 |
Publication |
22nd IEEE Conference on Computer Vision and Pattern Recognition |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
565–572 |
|
|
Keywords |
road detection |
|
|
Abstract |
Color is a powerful visual cue for many computer vision applications such as image segmentation and object recognition. However, most of the existing color models depend on the imaging conditions affecting negatively the performance of the task at hand. Often, a reflection model (e.g., Lambertian or dichromatic reflectance) is used to derive color invariant models. However, those reflection models might be too restricted to model real-world scenes in which different reflectance mechanisms may hold simultaneously. Therefore, in this paper, we aim to derive color invariance by learning from color models to obtain diversified color invariant ensembles. First, a photometrical orthogonal and non-redundant color model set is taken on input composed of both color variants and invariants. Then, the proposed method combines and weights these color models to arrive at a diversified color ensemble yielding a proper balance between invariance (repeatability) and discriminative power (distinctiveness). To achieve this, the fusion method uses a multi-view approach to minimize the estimation error. In this way, the method is robust to data uncertainty and produces properly diversified color invariant ensembles. Experiments are conducted on three different image datasets to validate the method. From the theoretical and experimental results, it is concluded that the method is robust against severe variations in imaging conditions. The method is not restricted to a certain reflection model or parameter tuning. Further, the method outperforms state-of- the-art detection techniques in the field of object, skin and road recognition. |
|
|
Address |
Miami (USA) |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
1063-6919 |
ISBN |
978-1-4244-3992-8 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
CVPR |
|
|
Notes |
ADAS;ISE |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ AGL2009 |
Serial |
1169 |
|
Permanent link to this record |
|
|
|
|
Author |
Jose Manuel Alvarez; Ferran Diego; Joan Serrat; Antonio Lopez |
![download PDF file pdf](http://refbase.cvc.uab.es/img/file_PDF.gif)
![find book details (via ISBN) isbn](http://refbase.cvc.uab.es/img/isbn.gif)
|
|
Title |
Automatic Ground-truthing using video registration for on-board detection algorithms |
Type |
Conference Article |
|
Year |
2009 |
Publication |
16th IEEE International Conference on Image Processing |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
4389 - 4392 |
|
|
Keywords |
|
|
|
Abstract |
Ground-truth data is essential for the objective evaluation of object detection methods in computer vision. Many works claim their method is robust but they support it with experiments which are not quantitatively assessed with regard some ground-truth. This is one of the main obstacles to properly evaluate and compare such methods. One of the main reasons is that creating an extensive and representative ground-truth is very time consuming, specially in the case of video sequences, where thousands of frames have to be labelled. Could such a ground-truth be generated, at least in part, automatically? Though it may seem a contradictory question, we show that this is possible for the case of video sequences recorded from a moving camera. The key idea is transferring existing frame segmentations from a reference sequence into another video sequence recorded at a different time on the same track, possibly under a different ambient lighting. We have carried out experiments on several video sequence pairs and quantitatively assessed the precision of the transformed ground-truth, which prove that our approach is not only feasible but also quite accurate. |
|
|
Address |
Cairo, Egypt |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
1522-4880 |
ISBN |
978-1-4244-5653-6 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ICIP |
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ ADS2009 |
Serial |
1201 |
|
Permanent link to this record |
|
|
|
|
Author |
Angel Sappa; Mohammad Rouhani |
![goto web page (via DOI) doi](http://refbase.cvc.uab.es/img/doi.gif)
![find record details (via OpenURL) openurl](http://refbase.cvc.uab.es/img/xref.gif)
|
|
Title |
Efficient Distance Estimation for Fitting Implicit Quadric Surfaces |
Type |
Conference Article |
|
Year |
2009 |
Publication |
16th IEEE International Conference on Image Processing |
Abbreviated Journal |
|
|
|
Volume |
|
Issue |
|
Pages |
3521–3524 |
|
|
Keywords |
|
|
|
Abstract |
This paper presents a novel approach for estimating the shortest Euclidean distance from a given point to the corresponding implicit quadric fitting surface. It first estimates the orthogonal orientation to the surface from the given point; then the shortest distance is directly estimated by intersecting the implicit surface with a line passing through the given point according to the estimated orthogonal orientation. The proposed orthogonal distance estimation is easily obtained without increasing computational complexity; hence it can be used in error minimization surface fitting frameworks. Comparisons of the proposed metric with previous approaches are provided to show both improvements in CPU time as well as in the accuracy of the obtained results. Surfaces fitted by using the proposed geometric distance estimation and state of the art metrics are presented to show the viability of the proposed approach. |
|
|
Address |
Cairo, Egypt |
|
|
Corporate Author |
|
Thesis |
|
|
|
Publisher ![sorted by Publisher field, ascending order (up)](http://refbase.cvc.uab.es/img/sort_asc.gif) |
|
Place of Publication |
|
Editor |
|
|
|
Language |
|
Summary Language |
|
Original Title |
|
|
|
Series Editor |
|
Series Title |
|
Abbreviated Series Title |
|
|
|
Series Volume |
|
Series Issue |
|
Edition |
|
|
|
ISSN |
1522-4880 |
ISBN |
978-1-4244-5653-6 |
Medium |
|
|
|
Area |
|
Expedition |
|
Conference |
ICIP |
|
|
Notes |
ADAS |
Approved |
no |
|
|
Call Number |
ADAS @ adas @ SaR2009 |
Serial |
1232 |
|
Permanent link to this record |