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ECCV
2004
Springer
14 years 9 months ago
Recognition by Probabilistic Hypothesis Construction
We present a probabilistic framework for recognizing objects in images of cluttered scenes. Hundreds of objects may be considered and searched in parallel. Each object is learned f...
Pierre Moreels, Michael Maire, Pietro Perona
DICTA
2009
13 years 8 months ago
Modeling Image Context Using Object Centered Grid
Abstract--Context plays a valuable role in any image understanding task confirmed by numerous studies which have shown the importance of contextual information in computer vision t...
Sobhan Naderi Parizi, Ivan Laptev, Alireza Tavakol...
ESANN
2004
13 years 9 months ago
A biologically plausible neuromorphic system for object recognition and depth analysis
Abstract. We present a large-scale Neuromorphic model based on integrateand-fire (IF) neurons that analyses objects and their depth within a moving visual scene. A feature-based al...
Zhijun Yang, Alan F. Murray
ICMI
2007
Springer
215views Biometrics» more  ICMI 2007»
14 years 1 months ago
Visual inference of human emotion and behaviour
We address the problem of automatic interpretation of nonexaggerated human facial and body behaviours captured in video. We illustrate our approach by three examples. (1) We intro...
Shaogang Gong, Caifeng Shan, Tao Xiang
CVPR
2001
IEEE
14 years 9 months ago
Image-based Modeling and Rendering of Surfaces with Arbitrary BRDFs
A goal of image-based rendering is to synthesize as realistically as possible man made and natural objects. This paper presents a method for image-based modeling and rendering of ...
Melissa L. Koudelka, Peter N. Belhumeur, Sebastian...