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Author |
Ellen J.L. Brunenberg; Oriol Pujol; Bart M. Ter Haar Romeny; Petia Radeva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
Automatic IVUS Segmentation of Atherosclerotic Plaque with Stop & Go Snake |
Type |
Miscellaneous |
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Year |
2006 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention (MICCAI´06), 9–16 |
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Copenhagen (Denmark) |
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MILAB;HuPBA |
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no |
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BCNPCL @ bcnpcl @ BPT2006 |
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767 |
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Author |
Panagiota Spyridonos; Fernando Vilariño; Jordi Vitria; Fernando Azpiroz; Petia Radeva |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Anisotropic Feature Extraction from Endoluminal Images for Detection of Intestinal Contractions |
Type |
Book Chapter |
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Year |
2006 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Medical Image Computing and Computer–Assisted Intervention |
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Volume |
4191 |
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Pages |
161–168 |
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Abstract |
Wireless endoscopy is a very recent and at the same time unique technique allowing to visualize and study the occurrence of con- tractions and to analyze the intestine motility. Feature extraction is es- sential for getting efficient patterns to detect contractions in wireless video endoscopy of small intestine. We propose a novel method based on anisotropic image filtering and efficient statistical classification of con- traction features. In particular, we apply the image gradient tensor for mining informative skeletons from the original image and a sequence of descriptors for capturing the characteristic pattern of contractions. Fea- tures extracted from the endoluminal images were evaluated in terms of their discriminatory ability in correct classifying images as either belong- ing to contractions or not. Classification was performed by means of a support vector machine classifier with a radial basis function kernel. Our classification rates gave sensitivity of the order of 90.84% and specificity of the order of 94.43% respectively. These preliminary results highlight the high efficiency of the selected descriptors and support the feasibility of the proposed method in assisting the automatic detection and analysis of contractions. |
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Copenhagen (Denmark) |
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Springer Verlag |
Place of Publication |
Berlin Heidelberg |
Editor |
R. Larsen, M. Nielsen, and J. Sporring |
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LNCS |
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800 |
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MICCAI06 |
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MV;OR;MILAB;SIAI |
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no |
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BCNPCL @ bcnpcl @ SVV2006; IAM @ iam @ SVV2006 |
Serial |
725 |
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Author |
Patricia Marquez; Debora Gil ; Aura Hernandez-Sabate |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Error Analysis for Lucas-Kanade Based Schemes |
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Conference Article |
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Year |
2012 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Image Analysis and Recognition |
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7324 |
Issue |
I |
Pages |
184-191 |
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Keywords |
Optical flow, Confidence measure, Lucas-Kanade, Cardiac Magnetic Resonance |
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Abstract |
Optical flow is a valuable tool for motion analysis in medical imaging sequences. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in medical sequences. This paper presents an error analysis of Lucas-Kanade schemes in terms of intrinsic design errors and numerical stability of the algorithm. Our analysis provides a confidence measure that is naturally correlated to the accuracy of the flow field. Our experiments show the higher predictive value of our confidence measure compared to existing measures. |
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Aveiro, Portugal |
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Springer-Verlag Berlin Heidelberg |
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english |
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Campilho, Aurélio and Kamel, Mohamed |
Series Title |
Lecture Notes in Computer Science |
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LNCS |
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0302-9743 |
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978-3-642-31294-6 |
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ICIAR |
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IAM |
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no |
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IAM @ iam @ MGH2012a |
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1899 |
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Author |
Ricard Borras; Agata Lapedriza; Laura Igual |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Depth Information in Human Gait Analysis: An Experimental Study on Gender Recognition |
Type |
Conference Article |
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Year |
2012 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Image Analysis and Recognition |
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Volume |
7325 |
Issue |
II |
Pages |
98-105 |
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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. |
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Aveiro, Portugal |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-31297-7 |
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ICIAR |
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Notes |
OR; MILAB;MV |
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no |
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Admin @ si @ BLI2012 |
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2009 |
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Author |
Fernando Barrera; Felipe Lumbreras; Angel Sappa |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Evaluation of Similarity Functions in Multimodal Stereo |
Type |
Conference Article |
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Year |
2012 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Image Analysis and Recognition |
Abbreviated Journal |
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7324 |
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I |
Pages |
320-329 |
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Keywords |
Aveiro, Portugal |
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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. |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-31294-6 |
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ADAS |
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BLS2012a |
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2014 |
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Author |
Miguel Oliveira; Angel Sappa; V. Santos |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Color Correction using 3D Gaussian Mixture Models |
Type |
Conference Article |
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Year |
2012 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Image Analysis and Recognition |
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7324 |
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I |
Pages |
97-106 |
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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. |
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Springer Berlin Heidelberg |
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0302-9743 |
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10.1007/978-3-642-31295-3_12 |
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ICIAR |
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ADAS |
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Admin @ si @ OSS2012a |
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2015 |
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Author |
Laura Igual; Joan Carles Soliva; Roger Gimeno; Sergio Escalera; Oscar Vilarroya; Petia Radeva |
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Title |
Automatic Internal Segmentation of Caudate Nucleus for Diagnosis of Attention Deficit Hyperactivity Disorder |
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Conference Article |
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Year |
2012 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Image Analysis and Recognition |
Abbreviated Journal |
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Volume |
7325 |
Issue |
II |
Pages |
222-229 |
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Poster
Studies on volumetric brain Magnetic Resonance Imaging (MRI) showed neuroanatomical abnormalities in pediatric Attention-Deficit/Hyperactivity Disorder (ADHD). In particular, the diminished right caudate volume is one of the most replicated findings among ADHD samples in morphometric MRI studies. In this paper, we propose a fully-automatic method for internal caudate nucleus segmentation based on machine learning. Moreover, the ratio between right caudate body volume and the bilateral caudate body volume is applied in a ADHD diagnostic test. We separately validate the automatic internal segmentation of caudate in head and body structures and the diagnostic test using real data from ADHD and control subjects. As a result, we show accurate internal caudate segmentation and similar performance among the proposed automatic diagnostic test and the manual annotation. |
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Aveiro, Portugal |
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LNCS |
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0302-9743 |
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978-3-642-31297-7 |
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ICIAR |
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OR; HuPBA; MILAB |
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no |
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Admin @ si @ ISG2012 |
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2059 |
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Author |
Jose Antonio Rodriguez; Gemma Sanchez; Josep Llados |
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Title |
A Pen-based Interface for Real-time Document Edition |
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Conference Article |
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2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Document Analysis and Recognition. |
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2 |
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939–944 |
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Curitiba (Brazil) |
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DAG |
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no |
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DAG @ dag @ RSL2007b |
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883 |
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Author |
Miquel Ferrer; Ernest Valveny |
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Title |
Combination of OCR Engines for Page Segmentation based on Performance Evaluation |
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Conference Article |
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Year |
2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Document Analysis and Recognition |
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2 |
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784–788 |
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Curitiba (Brazil) |
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DAG |
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DAG @ dag @ FeV2007 |
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838 |
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Author |
Josep Llados; Gemma Sanchez |
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Title |
Indexing Historical Documents by Word Shape Signatures |
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Conference Article |
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Year |
2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Document Analysis and Recognition |
Abbreviated Journal |
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1 |
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362–366 |
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Curitiba (Brasil) |
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DAG |
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DAG @ dag @ LlS2007 |
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882 |
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Author |
Oriol Ramos Terrades; Salvatore Tabbone; Ernest Valveny |
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Title |
A Review of Shape Descriptors for Document Analysis |
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Conference Article |
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2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Document Analysis and Recognition |
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1 |
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227–231 |
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Curitiba (Brazil) |
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DAG |
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DAG @ dag @ RTV2007b |
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884 |
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Author |
S. Chanda; Oriol Ramos Terrades; Umapada Pal |
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Title |
SVM Based Scheme for Thai and English Script Identification |
Type |
Conference Article |
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2007 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Document Analysis and Recognition |
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1 |
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551–555 |
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Curitiba (Brazil) |
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DAG |
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DAG @ dag @ CRP2007a |
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885 |
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Author |
Patricia Marquez; Debora Gil; R.Mester; Aura Hernandez-Sabate |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Local Analysis of Confidence Measures for Optical Flow Quality Evaluation |
Type |
Conference Article |
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Year |
2014 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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3 |
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450-457 |
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Optical Flow; Confidence Measure; Performance Evaluation. |
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Abstract |
Optical Flow (OF) techniques facing the complexity of real sequences have been developed in the last years. Even using the most appropriate technique for our specific problem, at some points the output flow might fail to achieve the minimum error required for the system. Confidence measures computed from either input data or OF output should discard those points where OF is not accurate enough for its further use. It follows that evaluating the capabilities of a confidence measure for bounding OF error is as important as the definition
itself. In this paper we analyze different confidence measures and point out their advantages and limitations for their use in real world settings. We also explore the agreement with current tools for their evaluation of confidence measures performance. |
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Lisboa; January 2014 |
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VISAPP |
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IAM; ADAS; 600.044; 600.060; 600.057; 601.145; 600.076; 600.075 |
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no |
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Admin @ si @ MGM2014 |
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2432 |
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Author |
Q. Xue; Laura Igual; A. Berenguel; M. Guerrieri; L. Garrido |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Active Contour Segmentation with Affine Coordinate-Based Parametrization |
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Conference Article |
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2014 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Computer Vision Theory and Applications |
Abbreviated Journal |
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1 |
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5-14 |
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Active Contours; Affine Coordinates; Mean Value Coordinates |
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In this paper, we present a new framework for image segmentation based on parametrized active contours. The contour and the points of the image space are parametrized using a set of reduced control points that have to form a closed polygon in two dimensional problems and a closed surface in three dimensional problems. By moving the control points, the active contour evolves. We use mean value coordinates as the parametrization tool for the interface, which allows to parametrize any point of the space, inside or outside the closed polygon
or surface. Region-based energies such as the one proposed by Chan and Vese can be easily implemented in both two and three dimensional segmentation problems. We show the usefulness of our approach with several experiments. |
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Lisboa; January 2014 |
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OR;MILAB |
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Admin @ si @ XIB2014 |
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2452 |
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Author |
P. Ricaurte; C. Chilan; Cristhian A. Aguilera-Carrasco; Boris X. Vintimilla; Angel Sappa |
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Title |
Performance Evaluation of Feature Point Descriptors in the Infrared Domain |
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Conference Article |
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2014 |
Publication ![sorted by Publication field, descending order (down)](img/sort_desc.gif) |
9th International Conference on Computer Vision Theory and Applications |
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1 |
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545-550 |
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Infrared Imaging; Feature Point Descriptors |
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This paper presents a comparative evaluation of classical feature point descriptors when they are used in the long-wave infrared spectral band. Robustness to changes in rotation, scaling, blur, and additive noise are evaluated using a state of the art framework. Statistical results using an outdoor image data set are presented together with a discussion about the differences with respect to the results obtained when images from the visible spectrum are considered. |
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Lisboa; Portugal; January 2014 |
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ADAS; 600.055; 600.076 |
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Admin @ si @ RCA2014b |
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2476 |
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