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» Markov Random Field Models in Computer Vision
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PAMI
2011
13 years 3 months ago
Decoupled Active Contour (DAC) for Boundary Detection
— The accurate detection of object boundaries via active contours is an ongoing research topic in computer vision. Most active contours converge towards some desired contour by m...
Akshaya Kumar Mishra, Paul W. Fieguth, David A. Cl...
3DOR
2010
13 years 3 months ago
SHREC'10 Track: Non-rigid 3D Shape Retrieval
Non-rigid shape matching is one of the most challenging fields in content-based 3D object retrieval. The aim of the SHREC 2010 - Shape Retrieval Contest of Non-rigid 3D Models is ...
Zhouhui Lian, Afzal Godil, Thomas Fabry, Takahiko ...
CVPR
2009
IEEE
15 years 3 months ago
Active Learning for Large Multi-class Problems
Scarcity and infeasibility of human supervision for large scale multi-class classification problems necessitates active learning. Unfortunately, existing active learning methods ...
Prateek Jain (University of Texas at Austin), Ashi...
CVPR
2009
IEEE
15 years 2 months ago
Tracking of Cell Populations to Understand their Spatio-Temporal Behavior in Response to Physical Stimuli
We have developed methods for segmentation and tracking of cells in time-lapse phase-contrast microscopy images. Our multi-object Bayesian algorithm detects and tracks large num...
David House, Matthew Walker, Zheng Wu, Joyce Wong,...
CVPR
2003
IEEE
14 years 10 months ago
Object Recognition Based on Photometric Alignment Using RANSAC
For object recognition under varying illumination conditions, we propose a method based on photometric alignment. The photometric alignment is known as a technique that models bot...
Takahiro Okabe, Yoichi Sato