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» Fundamental performance limits in image registration
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CVPR
2007
IEEE
15 years 12 months ago
An MRF and Gaussian Curvature Based Shape Representation for Shape Matching
Matching and registration of shapes is a key issue in Computer Vision, Pattern Recognition, and Medical Image Analysis. This paper presents a shape representation framework based ...
Pengdong Xiao, Nick Barnes, Tibério S. Caet...
ICCV
2009
IEEE
1035views Computer Vision» more  ICCV 2009»
16 years 2 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,...
CIMAGING
2010
122views Hardware» more  CIMAGING 2010»
14 years 11 months ago
Symmetrized local co-registration optimization for anomalous change detection
The goal of anomalous change detection (ACD) is to identify what unusual changes have occurred in a scene, based on two images of the scene taken at different times and under diff...
Brendt Wohlberg, James Theiler
DAGM
2003
Springer
15 years 3 months ago
Splines and Wavelets: New Perspectives for Pattern Recognition
We provide an overview of spline and wavelet techniques with an emphasis on applications in pattern recognition. The presentation is divided in three parts. In the first one, we ar...
Michael Unser
ECCV
2010
Springer
15 years 7 days ago
Photometric Stereo for Dynamic Surface Orientations
Abstract. We present a photometric stereo method for non-rigid objects of unknown and spatially varying materials. The prior art uses timemultiplexed illumination but assumes const...