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» Learning sparse covariance patterns for natural scenes
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ICIP
2007
IEEE
14 years 9 months ago
Modeling Time-Varying Illumination Patterns in Video
Recreating the temporal illumination variations of natural scenes has great potential for realistic synthesis of video sequences. In this paper, we present a 3D (model-based) appr...
Yilei Xu, Amit K. Roy Chowdhury
ICCV
2009
IEEE
13 years 5 months ago
Selection and context for action recognition
Recognizing human action in non-instrumented video is a challenging task not only because of the variability produced by general scene factors like illumination, background, occlu...
Dong Han, Liefeng Bo, Cristian Sminchisescu
SPIEVIP
2008
13 years 10 months ago
Adaptive methods of two-scale edge detection in post-enhancement visual pattern processing
Adaptive methods are defined and experimentally studied for a two-scale edge detection process that mimics human visual perception of edges and is inspired by the parvo-cellular (...
Zia-ur Rahman, Daniel J. Jobson, Glenn A. Woodell
CVPR
2010
IEEE
14 years 3 months ago
Locally-Parametric Pictorial Structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar
CVPR
2010
IEEE
13 years 5 months ago
Adaptive pose priors for pictorial structures
Pictorial structure (PS) models are extensively used for part-based recognition of scenes, people, animals and multi-part objects. To achieve tractability, the structure and param...
Benjamin Sapp, Chris Jordan, Ben Taskar