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NIPS
2008
13 years 11 months ago
A "Shape Aware" Model for semi-supervised Learning of Objects and its Context
We present an approach that combines bag-of-words and spatial models to perform semantic and syntactic analysis for recognition of an object based on its internal appearance and i...
Abhinav Gupta, Jianbo Shi, Larry S. Davis
VVS
1998
IEEE
120views Visualization» more  VVS 1998»
14 years 2 months ago
Using Distance Maps for Accurate Surface Representation in Sampled Volumes
High quality rendering and physics-based modeling in volume graphics have been limited because intensity-based volumetric data do not represent surfaces well. High spatial frequen...
Sarah F. Frisken Gibson
IVC
2002
148views more  IVC 2002»
13 years 9 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
EMMCVPR
2011
Springer
12 years 9 months ago
Data-Driven Importance Distributions for Articulated Tracking
Abstract. We present two data-driven importance distributions for particle filterbased articulated tracking; one based on background subtraction, another on depth information. In ...
Søren Hauberg, Kim Steenstrup Pedersen