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Author |
Agata Lapedriza; Santiago Segui; David Masip; Jordi Vitria |
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Title |
A Sparse Bayesian Approach for Joint Feature Selection and Classifier Learning |
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2008 |
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Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications, |
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11 |
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3-4 |
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299-308 |
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Springer |
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OR;MV |
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BCNPCL @ bcnpcl @ LSM2008 |
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996 |
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Author |
Bogdan Raducanu; Jordi Vitria |
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Title |
Online Nonparametric Discriminant Analysis for Incremental Subspace Learning and Recognition |
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Year |
2008 |
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Pattern Analysis and Applications. Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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11 |
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3-4 |
Pages |
259–268 |
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Springer |
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OR;MV |
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BCNPCL @ bcnpcl @ RaV2008c |
Serial |
997 |
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Author |
F. Pla; Petia Radeva; Jordi Vitria |
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Title |
Non-parametric distance-based classification techniques and their applications |
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Year |
2008 |
Publication |
Pattern Analysis and Applications, Special Issue: Non–Parametric Distance–Based Classification Techniques and Their Applications |
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11 |
Issue |
3-4 |
Pages |
223–225 |
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Springer |
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OR;MILAB;MV |
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BCNPCL @ bcnpcl @ PRV2008 |
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999 |
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Author |
Cesar Isaza; Joaquin Salas; Bogdan Raducanu |
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Title |
Rendering ground truth data sets to detect shadows cast by static objects in outdoors |
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Year |
2014 |
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Multimedia Tools and Applications |
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MTAP |
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70 |
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1 |
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557-571 |
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Synthetic ground truth data set; Sun position; Shadow detection; Static objects shadow detection |
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In our work, we are particularly interested in studying the shadows cast by static objects in outdoor environments, during daytime. To assess the accuracy of a shadow detection algorithm, we need ground truth information. The collection of such information is a very tedious task because it is a process that requires manual annotation. To overcome this severe limitation, we propose in this paper a methodology to automatically render ground truth using a virtual environment. To increase the degree of realism and usefulness of the simulated environment, we incorporate in the scenario the precise longitude, latitude and elevation of the actual location of the object, as well as the sun’s position for a given time and day. To evaluate our method, we consider a qualitative and a quantitative comparison. In the quantitative one, we analyze the shadow cast by a real object in a particular geographical location and its corresponding rendered model. To evaluate qualitatively the methodology, we use some ground truth images obtained both manually and automatically. |
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Springer US |
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1380-7501 |
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OR;MV |
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Admin @ si @ ISR2014 |
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2229 |
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Author |
Bogdan Raducanu; Fadi Dornaika |
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Title |
Texture-independent recognition of facial expressions in image snapshots and videos |
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Journal Article |
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Year |
2013 |
Publication |
Machine Vision and Applications |
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MVA |
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24 |
Issue |
4 |
Pages |
811-820 |
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This paper addresses the static and dynamic recognition of basic facial expressions. It has two main contributions. First, we introduce a view- and texture-independent scheme that exploits facial action parameters estimated by an appearance-based 3D face tracker. We represent the learned facial actions associated with different facial expressions by time series. Second, we compare this dynamic scheme with a static one based on analyzing individual snapshots and show that the former performs better than the latter. We provide evaluations of performance using three subspace learning techniques: linear discriminant analysis, non-parametric discriminant analysis and support vector machines. |
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Springer-Verlag |
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0932-8092 |
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OR; 600.046; 605.203;MV |
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Admin @ si @ RaD2013 |
Serial |
2230 |
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