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» Learning sparse covariance patterns for natural scenes
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ICIP
2007
IEEE
14 years 8 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 4 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 8 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 2 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 4 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