| Records |
| Author |
G.D. Evangelidis; Ferran Diego; Joan Serrat; Antonio Lopez |
| Title |
Slice Matching for Accurate Spatio-Temporal Alignment |
Type |
Conference Article |
| Year |
2011 |
Publication  |
In ICCV Workshop on Visual Surveillance |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
video alignment |
| Abstract |
Video synchronization and alignment is a rather recent topic in computer vision. It usually deals with the problem of aligning sequences recorded simultaneously by static, jointly- or independently-moving cameras. In this paper, we investigate the more difficult problem of matching videos captured at different times from independently-moving cameras, whose trajectories are approximately coincident or parallel. To this end, we propose a novel method that pixel-wise aligns videos and allows thus to automatically highlight their differences. This primarily aims at visual surveillance but the method can be adopted as is by other related video applications, like object transfer (augmented reality) or high dynamic range video. We build upon a slice matching scheme to first synchronize the sequences, while we develop a spatio-temporal alignment scheme to spatially register corresponding frames and refine the temporal mapping. We investigate the performance of the proposed method on videos recorded from vehicles driven along different types of roads and compare with related previous works. |
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Conference |
VS |
| Notes |
ADAS |
Approved |
no |
| Call Number |
Admin @ si @ EDS2011; ADAS @ adas @ eds2011a |
Serial |
1861 |
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| Author |
Francesco Ciompi; A. Palaioroutas; M. Loeve; Oriol Pujol; Petia Radeva; H. Tiddens; M. de Bruijne |
| Title |
Lung Tissue Classification in Severe Advanced Cystic Fibrosis from CT Scans |
Type |
Conference Article |
| Year |
2011 |
Publication |
In MICCAI 2011 4th International Workshop on Pulmonary Image Analysis |
Abbreviated Journal |
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Issue |
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Pages |
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| Address |
Toronto, Canada |
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Place of Publication |
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Conference |
PIA |
| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ CPL2011 |
Serial |
1798 |
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| Author |
Jorge Bernal; F. Javier Sanchez; Fernando Vilariño |
| Title |
Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy |
Type |
Conference Article |
| Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computational and Clinical Applications in Abdominal Imaging |
Abbreviated Journal |
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| Volume |
6668 |
Issue |
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Pages |
76-83 |
| Keywords |
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| Abstract |
This work presents a region descriptor based on the integration of the information that the depth of valleys image provides. The depth of valleys image is based on the presence of intensity valleys around polyps due to the image acquisition. Our proposed method consists of defining, for each point, a series of radial sectors around it and then accumulates the maxima of the depth of valleys image only if the orientation of the intensity valley coincides with the orientation of the sector above. We apply our descriptor to a prior segmentation of the images and we present promising results on polyp detection, outperforming other approaches that also integrate depth of valleys information. |
| Address |
Toronto, Canada |
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Thesis |
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| Publisher |
Springer Link |
Place of Publication |
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Series Title |
Lecture Notes in Computer Science |
Abbreviated Series Title |
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Edition |
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ISBN |
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Medium |
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| Area |
800 |
Expedition |
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Conference |
ABI |
| Notes |
MV;SIAI |
Approved |
no |
| Call Number |
IAM @ iam @ BSV2011d |
Serial |
1698 |
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| Author |
Ferran Poveda; Debora Gil ;Albert Andaluz ;Enric Marti |
| Title |
Multiscale Tractography for Representing Heart Muscular Architecture |
Type |
Conference Article |
| Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computational Diffusion MRI |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Deep understanding of myocardial structure of the heart would unravel crucial knowledge for clinical and medical procedures. Although the muscular architecture of the heart has been debated by countless researchers, the controversy is still alive. Diffusion Tensor MRI, DT-MRI, is a unique imaging technique for computational validation of the muscular structure of the heart. By the complex arrangement of myocites, existing techniques can not provide comprehensive descriptions of the global muscular architecture. In this paper we introduce a multiresolution reconstruction technique based on DT-MRI streamlining for simplified global myocardial model generation. Our reconstructions can restore the most complex myocardial structures and indicate a global helical organization |
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Place of Publication |
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| Language |
English |
Summary Language |
english |
Original Title |
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Expedition |
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Conference |
CDRMI |
| Notes |
IAM |
Approved |
no |
| Call Number |
IAM @ iam @ PGA2011 |
Serial |
1681 |
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| Author |
Francesco Ciompi; Oriol Pujol; Simone Balocco; Xavier Carrillo; J. Mauri; Petia Radeva |
| Title |
Automatic Key Frames Detection in Intravascular Ultrasound Sequences |
Type |
Conference Article |
| Year |
2011 |
Publication |
In MICCAI 2011 Workshop on Computing and Visualization for Intra Vascular Imaging |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
We present a method for the automatic detection of key frames in Intravascular Ultrasound (IVUS) sequences. The key frames are markers delimiting morphological changes along the vessel. The aim of defining key frames is two-fold: (1) they allow to summarize the content of the pullback into few representative frames; (2) they represent the basis for the automatic detection of clinical events in IVUS. The proposed approach achieved a compression ratio of 0.016 with respect to the original sequence and an average inter-frame distance of 61.76 frame, minimizing the number of missed clinical events. |
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Expedition |
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Conference |
CVII |
| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ CPB2011 |
Serial |
1767 |
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| Author |
Marçal Rusiñol; V. Poulain d'Andecy; Dimosthenis Karatzas; Josep Llados |
| Title |
Classification of Administrative Document Images by Logo Identification |
Type |
Conference Article |
| Year |
2011 |
Publication |
In proceedings of 9th IAPR Workshop on Graphic Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
This paper is focused on the categorization of administrative document images (such as invoices) based on the recognition of the supplier's graphical logo. Two different methods are proposed, the first one uses a bag-of-visual-words model whereas the second one tries to locate logo images described by the blurred shape model descriptor within documents by a sliding-window technique. Preliminar results are reported with a dataset of real administrative documents. |
| Address |
Seoul, Corea |
| Corporate Author |
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Thesis |
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Place of Publication |
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Editor |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RPK2011 |
Serial |
1821 |
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| Author |
Anjan Dutta; Josep Llados; Umapada Pal |
| Title |
Bag-of-GraphPaths Descriptors for Symbol Recognition and Spotting in Line Drawings |
Type |
Conference Article |
| Year |
2011 |
Publication |
In proceedings of 9th IAPR Workshop on Graphic Recognition |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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| Keywords |
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| Abstract |
Graphical symbol recognition and spotting recently have become an important research activity. In this work we present a descriptor for symbols, especially for line drawings. The descriptor is based on the graph representation of graphical objects. We construct graphs from the vectorized information of the binarized images, where the critical points detected by the vectorization algorithm are considered as nodes and the lines joining them are considered as edges. Graph paths between two nodes in a graph are the finite sequences of nodes following the order from the starting to the final node. The occurrences of different graph paths in a given graph is an important feature, as they capture the geometrical and structural attributes of a graph. So the graph representing a symbol can efficiently be represent by the occurrences of its different paths. Their occurrences in a symbol can be obtained in terms of a histogram counting the number of some fixed prototype paths, we call the histogram as the Bag-of-GraphPaths (BOGP). These BOGP histograms are used as a descriptor to measure the distance among the symbols in vector space. We use the descriptor for three applications, they are: (1) classification of the graphical symbols, (2) spotting of the architectural symbols on floorplans, (3) classification of the historical handwritten words. |
| Address |
Seoul, Korea |
| 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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Summary Language |
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Original Title |
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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 |
978-3-642-36823-3 |
Medium |
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| Area |
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Expedition |
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Conference |
GREC |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ DLP2011c |
Serial |
1825 |
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| Author |
Marçal Rusiñol; R.Roset; Josep Llados; C.Montaner |
| Title |
Automatic Index Generation of Digitized Map Series by Coordinate Extraction and Interpretation |
Type |
Conference Article |
| Year |
2011 |
Publication |
In Proceedings of the Sixth International Workshop on Digital Technologies in Cartographic Heritage |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
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Place of Publication |
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Conference |
CartoHerit |
| Notes |
DAG |
Approved |
no |
| Call Number |
Admin @ si @ RRL2011b |
Serial |
1978 |
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| Author |
Bogdan Raducanu; Fadi Dornaika |
| Title |
A Discriminative Non-Linear Manifold Learning Technique for Face Recognition |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Informatics Engineering and Information Science |
Abbreviated Journal |
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| Volume |
254 |
Issue |
6 |
Pages |
339-353 |
| Keywords |
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| Abstract |
In this paper we propose a novel non-linear discriminative analysis technique for manifold learning. The proposed approach is a discriminant version of Laplacian Eigenmaps which takes into account the class label information in order to guide the procedure of non-linear dimensionality reduction. By following the large margin concept, the graph Laplacian is split in two components: within-class graph and between-class graph to better characterize the discriminant property of the data.
Our approach has been tested on several challenging face databases and it has been conveniently compared with other linear and non-linear techniques. The experimental results confirm that our method outperforms, in general, the existing ones. Although we have concentrated in this paper on the face recognition problem, the proposed approach could also be applied to other category of objects characterized by large variance in their appearance. |
| 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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Summary Language |
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Original Title |
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Series Title |
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Abbreviated Series Title |
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Series Issue |
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Edition |
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| ISSN |
1865-0929 |
ISBN |
978-3-642-25482-6 |
Medium |
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Expedition |
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Conference |
ICIEIS |
| Notes |
OR;MV |
Approved |
no |
| Call Number |
Admin @ si @ RaD2011 |
Serial |
1804 |
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| Author |
Sergio Escalera; David M.J. Tax; Oriol Pujol; Petia Radeva; Robert P.W. Duin |
| Title |
Multi-Class Classification in Image Analysis Via Error-Correcting Output Codes |
Type |
Book Chapter |
| Year |
2011 |
Publication |
Innovations in Intelligent Image Analysis |
Abbreviated Journal |
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| Volume |
339 |
Issue |
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Pages |
7-29 |
| Keywords |
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| Abstract |
A common way to model multi-class classification problems is by means of Error-Correcting Output Codes (ECOC). Given a multi-class problem, the ECOC technique designs a codeword for each class, where each position of the code identifies the membership of the class for a given binary problem.A classification decision is obtained by assigning the label of the class with the closest code. In this paper, we overview the state-of-the-art on ECOC designs and test them in real applications. Results on different multi-class data sets show the benefits of using the ensemble of classifiers when categorizing objects in images. |
| Address |
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Thesis |
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| Publisher |
Springer Berlin Heidelberg |
Place of Publication |
Berlin |
Editor |
H. Kawasnicka; L.Jain |
| 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 |
1860-949X |
ISBN |
978-3-642-17933-4 |
Medium |
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Expedition |
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Conference |
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| Notes |
MILAB;HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ ETP2011 |
Serial |
1746 |
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| Author |
Oscar Amoros; Sergio Escalera; Anna Puig |
| Title |
Adaboost GPU-based Classifier for Direct Volume Rendering |
Type |
Conference Article |
| Year |
2011 |
Publication |
International Conference on Computer Graphics Theory and Applications |
Abbreviated Journal |
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| Volume |
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Issue |
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Pages |
215-219 |
| Keywords |
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| Abstract |
In volume visualization, the voxel visibitity and materials are carried out through an interactive editing of Transfer Function. In this paper, we present a two-level GPU-based labeling method that computes in times of rendering a set of labeled structures using the Adaboost machine learning classifier. In a pre-processing step, Adaboost trains a binary classifier from a pre-labeled dataset and, in each sample, takes into account a set of features. This binary classifier is a weighted combination of weak classifiers, which can be expressed as simple decision functions estimated on a single feature values. Then, at the testing stage, each weak classifier is independently applied on the features of a set of unlabeled samples. We propose an alternative representation of these classifiers that allow a GPU-based parallelizated testing stage embedded into the visualization pipeline. The empirical results confirm the OpenCL-based classification of biomedical datasets as a tough problem where an opportunity for further research emerges. |
| Address |
Algarve, Portugal |
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Thesis |
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Place of Publication |
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Editor |
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Original Title |
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Series Title |
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Edition |
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Conference |
GRAPP |
| Notes |
MILAB; HuPBA |
Approved |
no |
| Call Number |
Admin @ si @ AEP2011 |
Serial |
1774 |
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| Author |
Joost Van de Weijer; Shida Beigpour |
| Title |
The Dichromatic Reflection Model: Future Research Directions and Applications |
Type |
Conference Article |
| Year |
2011 |
Publication |
International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications |
Abbreviated Journal |
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Issue |
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Pages |
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| Keywords |
dblp |
| Abstract |
The dichromatic reflection model (DRM) predicts that color distributions form a parallelogram in color space, whose shape is defined by the body reflectance and the illuminant color. In this paper we resume the assumptions which led to the DRM and shortly recall two of its main applications domains: color image segmentation and photometric invariant feature computation. After having introduced the model we discuss several limitations of the theory, especially those which are raised once working on real-world uncalibrated images. In addition, we summerize recent extensions of the model which allow to handle more complicated light interactions. Finally, we suggest some future research directions which would further extend its applicability. |
| Address |
Algarve, Portugal |
| Corporate Author |
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Thesis |
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| Publisher |
SciTePress |
Place of Publication |
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Editor |
Mestetskiy, Leonid and Braz, José |
| Language |
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Summary Language |
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Original Title |
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Series Title |
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Series Issue |
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Edition |
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ISBN |
978-989-8425-47-8 |
Medium |
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Expedition |
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Conference |
VISIGRAPP |
| Notes |
CIC |
Approved |
no |
| Call Number |
Admin @ si @ WeB2011 |
Serial |
1778 |
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| Author |
Mariano Vazquez; Ruth Aris; Guillaume Hozeaux; R.Aubry; P.Villar;Jaume Garcia ; Debora Gil; Francesc Carreras |
| Title |
A massively parallel computational electrophysiology model of the heart |
Type |
Journal Article |
| Year |
2011 |
Publication |
International Journal for Numerical Methods in Biomedical Engineering |
Abbreviated Journal |
IJNMBE |
| Volume |
27 |
Issue |
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Pages |
1911-1929 |
| Keywords |
computational electrophysiology; parallelization; finite element methods |
| Abstract |
This paper presents a patient-sensitive simulation strategy capable of using the most efficient way the high-performance computational resources. The proposed strategy directly involves three different players: Computational Mechanics Scientists (CMS), Image Processing Scientists and Cardiologists, each one mastering its own expertise area within the project. This paper describes the general integrative scheme but focusing on the CMS side presents a massively parallel implementation of computational electrophysiology applied to cardiac tissue simulation. The paper covers different angles of the computational problem: equations, numerical issues, the algorithm and parallel implementation. The proposed methodology is illustrated with numerical simulations testing all the different possibilities, ranging from small domains up to very large ones. A key issue is the almost ideal scalability not only for large and complex problems but also for medium-size meshes. The explicit formulation is particularly well suited for solving this highly transient problems, with very short time-scale. |
| Address |
Swansea (UK) |
| Corporate Author |
John Wiley & Sons, Ltd. |
Thesis |
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| Publisher |
John Wiley & Sons, Ltd. |
Place of Publication |
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IAM |
Approved |
no |
| Call Number |
IAM @ iam @ VAH2011 |
Serial |
1198 |
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| Author |
Carme Julia; Felipe Lumbreras; Angel Sappa |
| Title |
A Factorization-based Approach to Photometric Stereo |
Type |
Journal Article |
| Year |
2011 |
Publication |
International Journal of Imaging Systems and Technology |
Abbreviated Journal |
IJIST |
| Volume |
21 |
Issue |
1 |
Pages |
115-119 |
| Keywords |
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| Abstract |
This article presents an adaptation of a factorization technique to tackle the photometric stereo problem. That is to recover the surface normals and reflectance of an object from a set of images obtained under different lighting conditions. The main contribution of the proposed approach is to consider pixels in shadow and saturated regions as missing data, in order to reduce their influence to the result. Concretely, an adapted Alternation technique is used to deal with missing data. Experimental results considering both synthetic and real images show the viability of the proposed factorization-based strategy. © 2011 Wiley Periodicals, Inc. Int J Imaging Syst Technol, 21, 115–119, 2011. |
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ADAS |
Approved |
no |
| Call Number |
Admin @ si @ JLS2011; ADAS @ adas @ |
Serial |
1711 |
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| Author |
M. Visani; Oriol Ramos Terrades; Salvatore Tabbone |
| Title |
A Protocol to Characterize the Descriptive Power and the Complementarity of Shape Descriptors |
Type |
Journal Article |
| Year |
2011 |
Publication |
International Journal on Document Analysis and Recognition |
Abbreviated Journal |
IJDAR |
| Volume |
14 |
Issue |
1 |
Pages |
87-100 |
| Keywords |
Document analysis; Shape descriptors; Symbol description; Performance characterization; Complementarity analysis |
| Abstract |
Most document analysis applications rely on the extraction of shape descriptors, which may be grouped into different categories, each category having its own advantages and drawbacks (O.R. Terrades et al. in Proceedings of ICDAR’07, pp. 227–231, 2007). In order to improve the richness of their description, many authors choose to combine multiple descriptors. Yet, most of the authors who propose a new descriptor content themselves with comparing its performance to the performance of a set of single state-of-the-art descriptors in a specific applicative context (e.g. symbol recognition, symbol spotting...). This results in a proliferation of the shape descriptors proposed in the literature. In this article, we propose an innovative protocol, the originality of which is to be as independent of the final application as possible and which relies on new quantitative and qualitative measures. We introduce two types of measures: while the measures of the first type are intended to characterize the descriptive power (in terms of uniqueness, distinctiveness and robustness towards noise) of a descriptor, the second type of measures characterizes the complementarity between multiple descriptors. Characterizing upstream the complementarity of shape descriptors is an alternative to the usual approach where the descriptors to be combined are selected by trial and error, considering the performance characteristics of the overall system. To illustrate the contribution of this protocol, we performed experimental studies using a set of descriptors and a set of symbols which are widely used by the community namely ART and SC descriptors and the GREC 2003 database. |
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Conference |
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| Notes |
DAG; IF 1.091 |
Approved |
no |
| Call Number |
Admin @ si @VRT2011 |
Serial |
1856 |
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