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» Learning Feature Distance Measures for Image Correspondences
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CVPR
2000
IEEE
14 years 11 months ago
A Curve Evolution Approach to Smoothing and Segmentation Using the Mumford-Shah Functional
In this work, we approach the classic Mumford-Shah problem from a curve evolution perspective. In particular, we let a given family of curves define the boundaries between regions...
Andy Tsai, Anthony J. Yezzi, Alan S. Willsky
ICCV
2003
IEEE
14 years 11 months ago
Dense Shape Reconstruction of a Moving Object under Arbitrary, Unknown Lighting
We present a method for shape reconstruction from several images of a moving object. The reconstruction is dense (up to image resolution). The method assumes that the motion is kn...
Denis Simakov, Darya Frolova, Ronen Basri
FGR
2002
IEEE
228views Biometrics» more  FGR 2002»
14 years 2 months ago
Real-Time Tracking of Multiple Fingertips and Gesture Recognition for Augmented Desk Interface Systems
In this paper, we propose a fast and robust method for tracking a user’s hand and multiple fingertips; we then demonstrate gesture recognition based on measured fingertip traj...
Kenji Oka, Yoichi Sato, Hideki Koike
IJCV
2006
110views more  IJCV 2006»
13 years 9 months ago
Multi-body Factorization with Uncertainty: Revisiting Motion Consistency
Dynamic analysis of video sequences often relies on the segmentation of the sequence into regions of consistent motions. Approaching this problem requires a definition of which mo...
Lihi Zelnik-Manor, Moshe Machline, Michal Irani
MICCAI
2010
Springer
13 years 7 months ago
Morphology-Guided Graph Search for Untangling Objects: C. elegans Analysis
We present a novel approach for extracting cluttered objects based on their morphological properties1 . Specifically, we address the problem of untangling C. elegans clusters in h...
Tammy Riklin Raviv, Vebjorn Ljosa, Annie L. Conery...