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208
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CVPR
2009
IEEE
17 years 25 days 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,...
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Efficient High-Quality Image Contour Detection
Image contour detection is fundamental to many image analysis applications, including image segmentation, object recognition and classification. However, highly accurate image c...
Bryan Catanzaro, Bor-Yiing Su, Narayanan Sundaram,...
CVPR
1999
IEEE
16 years 8 months ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
CVPR
1999
IEEE
1071views Computer Vision» more  CVPR 1999»
16 years 8 months ago
Adaptive Background Mixture Models for Real-Time Tracking
A common method for real-time segmentation of moving regions in image sequences involves "background subtraction," or thresholding the error between an estimate of the i...
Chris Stauffer, W. Eric L. Grimson
187
Voted
CVPR
2000
IEEE
16 years 8 months ago
Recovering Non-Rigid 3D Shape from Image Streams
This paper addresses the problem of recovering 3D non-rigid shape models from image sequences. For example, given a video recording of a talking person, we would like to estimate ...
Christoph Bregler, Aaron Hertzmann, Henning Bierma...
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