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» A Bottom up Algebraic Approach to Motion Segmentation
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EMMCVPR
2007
Springer
13 years 12 months ago
Bottom-Up Recognition and Parsing of the Human Body
Recognizing humans, estimating their pose and segmenting their body parts are key to high-level image understanding. Because humans are highly articulated, the range of deformation...
Praveen Srinivasan, Jianbo Shi
ECCV
2008
Springer
14 years 7 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...
ECCV
2004
Springer
14 years 7 months ago
A Unified Algebraic Approach to 2-D and 3-D Motion Segmentation
We present an analytic solution to the problem of estimating multiple 2-D and 3-D motion models from two-view correspondences or optical flow. The key to our approach is to view th...
René Vidal, Yi Ma
TIP
2010
165views more  TIP 2010»
13 years 16 days ago
A Novel Approach to FRUC Using Discriminant Saliency and Frame Segmentation
Motion-Compensated Frame Interpolation (MCFI) is a technique used extensively for increasing the temporal frequency of a video sequence. In order to obtain a high quality interpola...
Natan Jacobson, Yen-Lin Lee, Vijay Mahadevan, Nuno...
VMV
2003
142views Visualization» more  VMV 2003»
13 years 7 months ago
Evaluation and Improvement of Region-Based Motion Segmentation
Several approaches of motion segmentation were published in the last years, but an evaluation of these different approaches is missing up to now. Here we evaluate different method...
Mark Ross