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» Generic Object Detection using Model Based Segmentation
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DSRT
2005
IEEE
14 years 11 months ago
3D Mesh Compression Using an Efficient Neighborhood-based Segmentation
Due to the popularity of polygonal models in the Virtual Reality applications, 3D mesh compression and segmentation are two active areas of 3D object modeling. Most existing 3D co...
Lijun Chen 0003, Nicolas D. Georganas
ICIP
2009
IEEE
14 years 7 months ago
A novel two-tier Bayesian based method for hair segmentation
In this paper, a novel two-tier Bayesian based method is proposed for hair segmentation. In the first tier, we construct a Bayesian model by integrating hair occurrence prior prob...
Dan Wang, Shiguang Shan, Wei Zeng, Hongming Zhang,...
ECCV
2008
Springer
15 years 11 months ago
Object Detection from Large-Scale 3D Datasets Using Bottom-Up and Top-Down Descriptors
We propose an approach for detecting objects in large-scale range datasets that combines bottom-up and top-down processes. In the bottom-up stage, fast-to-compute local descriptors...
Alexander Patterson, Philippos Mordohai, Kostas Da...
CVIU
2007
193views more  CVIU 2007»
14 years 9 months ago
Interpretation of complex scenes using dynamic tree-structure Bayesian networks
This paper addresses the problem of object detection and recognition in complex scenes, where objects are partially occluded. The approach presented herein is based on the hypothe...
Sinisa Todorovic, Michael C. Nechyba
PAMI
2010
190views more  PAMI 2010»
14 years 8 months ago
OBJCUT: Efficient Segmentation Using Top-Down and Bottom-Up Cues
—We present a probabilistic method for segmenting instances of a particular object category within an image. Our approach overcomes the deficiencies of previous segmentation tech...
M. Pawan Kumar, Philip H. S. Torr, Andrew Zisserma...