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Author |
Petia Radeva; Joan Serrat |
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Title |
Rubber Snake: Implementation on Signed Distance Potential. |
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1993 |
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Vision Conference |
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187-194 |
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Zurich, Switzerland. |
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ADAS @ adas @ RaS1993 |
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170 |
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Author |
Jaume Amores; N. Sebe; Petia Radeva |
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Title |
Class-Specific Binaryy Correlograms for Object Recognition |
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Conference Article |
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2007 |
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British Machine Vision Conference |
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Warwick (UK) |
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BMVC’07 |
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ADAS;MILAB |
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ADAS @ adas @ ASR2007a |
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923 |
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Author |
A. Dupuy; Joan Serrat; Jordi Vitria; J. Pladellorens |
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Title |
Analysis of gammagraphic images by mathematical morphology. |
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1991 |
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Pattern Recognition and image Analysis: IV Spanish Symposium of Pattern Recognition and image Analysis, World Scientific Pub. |
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ADAS;OR;MV |
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ADAS @ adas @ DSV1991 |
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262 |
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Author |
Joan Serrat; Jordi Vitria; J. Pladellorens |
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Title |
Morphological Segmentation of Heart Scintigraphic image Sequences. |
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Conference Article |
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1991 |
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Computer Assisted Radiology. |
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Berlin |
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ADAS;OR;MV |
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ADAS @ adas @ SVP1991 |
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263 |
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Author |
H. Emrah Tasli; Cevahir Çigla; Theo Gevers; A. Aydin Alatan |
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Title |
Super pixel extraction via convexity induced boundary adaptation |
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Conference Article |
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2013 |
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14th IEEE International Conference on Multimedia and Expo |
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1-6 |
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This study presents an efficient super-pixel extraction algorithm with major contributions to the state-of-the-art in terms of accuracy and computational complexity. Segmentation accuracy is improved through convexity constrained geodesic distance utilization; while computational efficiency is achieved by replacing complete region processing with boundary adaptation idea. Starting from the uniformly distributed rectangular equal-sized super-pixels, region boundaries are adapted to intensity edges iteratively by assigning boundary pixels to the most similar neighboring super-pixels. At each iteration, super-pixel regions are updated and hence progressively converging to compact pixel groups. Experimental results with state-of-the-art comparisons, validate the performance of the proposed technique in terms of both accuracy and speed. |
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San Jose; USA; July 2013 |
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1945-7871 |
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ICME |
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ALTRES;ISE |
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no |
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Admin @ si @ TÇG2013 |
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2367 |
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Author |
H. Emrah Tasli; Jan van Gemert; Theo Gevers |
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Title |
Spot the differences: from a photograph burst to the single best picture |
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Conference Article |
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Year |
2013 |
Publication |
21ST ACM International Conference on Multimedia |
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729-732 |
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With the rise of the digital camera, people nowadays typically take several near-identical photos of the same scene to maximize the chances of a good shot. This paper proposes a user-friendly tool for exploring a personal photo gallery for selecting or even creating the best shot of a scene between its multiple alternatives. This functionality is realized through a graphical user interface where the best viewpoint can be selected from a generated panorama of the scene. Once the viewpoint is selected, the user is able to go explore possible alternatives coming from the other images. Using this tool, one can explore a photo gallery efficiently. Moreover, additional compositions from other images are also possible. With such additional compositions, one can go from a burst of photographs to the single best one. Even funny compositions of images, where you can duplicate a person in the same image, are possible with our proposed tool. |
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Barcelona |
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ACM-MM |
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ALTRES;ISE |
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no |
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TGG2013 |
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2368 |
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Author |
Sezer Karaoglu; Jan van Gemert; Theo Gevers |
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Title |
Con-text: text detection using background connectivity for fine-grained object classification |
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Conference Article |
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Year |
2013 |
Publication |
21ST ACM International Conference on Multimedia |
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757-760 |
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ACM-MM |
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ALTRES;ISE |
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no |
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Admin @ si @ KGG2013 |
Serial |
2369 |
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Author |
Ivo Everts; Jan van Gemert; Theo Gevers |
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Title |
Evaluation of Color STIPs for Human Action Recognition |
Type |
Conference Article |
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Year |
2013 |
Publication |
IEEE Conference on Computer Vision and Pattern Recognition |
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2850-2857 |
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This paper is concerned with recognizing realistic human actions in videos based on spatio-temporal interest points (STIPs). Existing STIP-based action recognition approaches operate on intensity representations of the image data. Because of this, these approaches are sensitive to disturbing photometric phenomena such as highlights and shadows. Moreover, valuable information is neglected by discarding chromaticity from the photometric representation. These issues are addressed by Color STIPs. Color STIPs are multi-channel reformulations of existing intensity-based STIP detectors and descriptors, for which we consider a number of chromatic representations derived from the opponent color space. This enhanced modeling of appearance improves the quality of subsequent STIP detection and description. Color STIPs are shown to substantially outperform their intensity-based counterparts on the challenging UCF~sports, UCF11 and UCF50 action recognition benchmarks. Moreover, the results show that color STIPs are currently the single best low-level feature choice for STIP-based approaches to human action recognition. |
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Portland; oregon; June 2013 |
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1063-6919 |
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Conference |
CVPR |
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ALTRES;ISE |
Approved |
no |
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Call Number |
Admin @ si @ EGG2013 |
Serial |
2364 |
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Author |
Fares Alnajar; Theo Gevers; Roberto Valenti; Sennay Ghebreab |
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Title |
Calibration-free Gaze Estimation using Human Gaze Patterns |
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Conference Article |
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Year |
2013 |
Publication |
15th IEEE International Conference on Computer Vision |
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137-144 |
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We present a novel method to auto-calibrate gaze estimators based on gaze patterns obtained from other viewers. Our method is based on the observation that the gaze patterns of humans are indicative of where a new viewer will look at [12]. When a new viewer is looking at a stimulus, we first estimate a topology of gaze points (initial gaze points). Next, these points are transformed so that they match the gaze patterns of other humans to find the correct gaze points. In a flexible uncalibrated setup with a web camera and no chin rest, the proposed method was tested on ten subjects and ten images. The method estimates the gaze points after looking at a stimulus for a few seconds with an average accuracy of 4.3 im. Although the reported performance is lower than what could be achieved with dedicated hardware or calibrated setup, the proposed method still provides a sufficient accuracy to trace the viewer attention. This is promising considering the fact that auto-calibration is done in a flexible setup , without the use of a chin rest, and based only on a few seconds of gaze initialization data. To the best of our knowledge, this is the first work to use human gaze patterns in order to auto-calibrate gaze estimators. |
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Sydney |
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ICCV |
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ALTRES;ISE |
Approved |
no |
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Call Number |
Admin @ si @ AGV2013 |
Serial |
2365 |
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Author |
Hamdi Dibeklioglu; Albert Ali Salah; Theo Gevers |
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Title |
Like Father, Like Son: Facial Expression Dynamics for Kinship Verification |
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Conference Article |
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Year |
2013 |
Publication |
15th IEEE International Conference on Computer Vision |
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Pages |
1497-1504 |
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Abstract |
Kinship verification from facial appearance is a difficult problem. This paper explores the possibility of employing facial expression dynamics in this problem. By using features that describe facial dynamics and spatio-temporal appearance over smile expressions, we show that it is possible to improve the state of the art in this problem, and verify that it is indeed possible to recognize kinship by resemblance of facial expressions. The proposed method is tested on different kin relationships. On the average, 72.89% verification accuracy is achieved on spontaneous smiles. |
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Sydney |
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ICCV |
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ALTRES;ISE |
Approved |
no |
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Call Number |
Admin @ si @ DSG2013 |
Serial |
2366 |
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Author |
Ivo Everts; Jan van Gemert; Theo Gevers |
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Title |
Per-patch Descriptor Selection using Surface and Scene Properties |
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Conference Article |
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Year |
2012 |
Publication |
12th European Conference on Computer Vision |
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Volume |
7577 |
Issue |
VI |
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172-186 |
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Abstract |
Local image descriptors are generally designed for describing all possible image patches. Such patches may be subject to complex variations in appearance due to incidental object, scene and recording conditions. Because of this, a single-best descriptor for accurate image representation under all conditions does not exist. Therefore, we propose to automatically select from a pool of descriptors the one that is best suitable based on object surface and scene properties. These properties are measured on the fly from a single image patch through a set of attributes. Attributes are input to a classifier which selects the best descriptor. Our experiments on a large dataset of colored object patches show that the proposed selection method outperforms the best single descriptor and a-priori combinations of the descriptor pool. |
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Florence, Italy |
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Springer Berlin Heidelberg |
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LNCS |
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0302-9743 |
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978-3-642-33782-6 |
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ECCV |
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ALTRES;ISE |
Approved |
no |
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Admin @ si @ EGG2012 |
Serial |
2023 |
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Author |
Hamdi Dibeklioglu; Theo Gevers; Albert Ali Salah |
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Title |
Are You Really Smiling at Me? Spontaneous versus Posed Enjoyment Smiles |
Type |
Conference Article |
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Year |
2012 |
Publication |
12th European Conference on Computer Vision |
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7574 |
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III |
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525-538 |
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Smiling is an indispensable element of nonverbal social interaction. Besides, automatic distinction between spontaneous and posed expressions is important for visual analysis of social signals. Therefore, in this paper, we propose a method to distinguish between spontaneous and posed enjoyment smiles by using the dynamics of eyelid, cheek, and lip corner movements. The discriminative power of these movements, and the effect of different fusion levels are investigated on multiple databases. Our results improve the state-of-the-art. We also introduce the largest spontaneous/posed enjoyment smile database collected to date, and report new empirical and conceptual findings on smile dynamics. The collected database consists of 1240 samples of 400 subjects. Moreover, it has the unique property of having an age range from 8 to 76 years. Large scale experiments on the new database indicate that eyelid dynamics are highly relevant for smile classification, and there are age-related differences in smile dynamics. |
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Florence, Italy |
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Springer Berlin Heidelberg |
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0302-9743 |
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978-3-642-33711-6 |
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ECCV |
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ALTRES;ISE |
Approved |
no |
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Call Number |
Admin @ si @ DGS2012 |
Serial |
2024 |
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Author |
Partha Pratim Roy; Eduard Vazquez; Josep Llados; Ramon Baldrich; Umapada Pal |
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Title |
A System to Retrieve Text/Symbols from Color Maps using Connected Component and Skeleton Analysis |
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Conference Article |
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2007 |
Publication |
Seventh IAPR International Workshop on Graphics Recognition |
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79–78 |
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Curitiba (Brasil) |
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J. Llados, W. Liu, J.M. Ogier |
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GREC |
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CAT; DAG;CIC |
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no |
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Call Number |
CAT @ cat @ RVL2007 |
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836 |
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Author |
Eduard Vazquez; Ramon Baldrich |
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Title |
Colour Image Segmentation in Presence of Shadows |
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Conference Article |
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2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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383–387 |
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Terrassa (Spain) |
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CGIV08 |
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CAT;CIC |
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no |
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CAT @ cat @ VaB2008 |
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966 |
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Author |
Javier Vazquez; Maria Vanrell; Ramon Baldrich |
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Title |
Towards a Psychophysical Evaluation of Colour Constancy Algorithms |
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Conference Article |
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Year |
2008 |
Publication |
4th European Conference on Colour in Graphics, Imaging and Vision Proceedings |
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372–377 |
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Terrassa (Spain) |
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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 |
CGIV08 |
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Notes |
CAT;CIC |
Approved |
no |
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Call Number |
CAT @ cat @ VVB2008a |
Serial |
968 |
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