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» Object shape and reflectance modeling from observation
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135
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ICIP
2004
IEEE
16 years 2 months ago
Decomposition of range images using markov random fields
This paper describes a computational model for deriving a decomposition of objects from laser rangefinder data. The process aims to produce a set of parts defined by compactness a...
Andreas Pichler, Robert B. Fisher, Markus Vincze
132
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DICTA
2007
15 years 2 months ago
Tracking with Multiple Cameras for Video Surveillance
The large shape variability and partial occlusions challenge most object detection and tracking methods for nonrigid targets such as pedestrians. Single camera tracking is limited...
Manas Kamal Bhuyan, Brian C. Lovell, Abbas Bigdeli
179
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TIP
1998
456views more  TIP 1998»
13 years 9 months ago
Snakes, Shapes, and Gradient Vector Flow
Snakes, or active contours, are used extensively in computer vision and image processing applications, particularly to locate object boundaries. Problems associated with initiali...
Chenyang Xu, Jerry L. Prince
ACCV
2006
Springer
15 years 6 months ago
Markovian Framework for Foreground-Background-Shadow Separation of Real World Video Scenes
Abstract. In this paper we give a new model for foreground-background-shadow separation. Our method extracts the faithful silhouettes of foreground objects even if they have partly...
Csaba Benedek, Tamás Szirányi
JCST
2010
122views more  JCST 2010»
14 years 11 months ago
Harmonic Field Based Volume Model Construction from Triangle Soup
Surface triangle meshes and volume data are two commonly used representations of digital geometry. Converting from triangle meshes to volume data is challenging, since triangle mes...
Chao-Hui Shen, Guo-Xin Zhang, Yu-Kun Lai, Shi-Min ...