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» Computing Robustness and Persistence for Images
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ICIP
2005
IEEE
15 years 11 months ago
Bounding box splitting for robust shape classification
This paper presents a fast method to compute homeomorphisms between 2D lattices and shapes found in binary images. Unlike many other methods, this mapping is not restricted to sim...
Christian Bauckhage, John K. Tsotsos
EMMCVPR
2009
Springer
15 years 4 months ago
Robust Segmentation by Cutting across a Stack of Gamma Transformed Images
7th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition, Bonn, Germany, August 24-27, 2009 Medical image segmentation appears to be ...
Elena Bernardis, Stella X. Yu
CVPR
2005
IEEE
15 years 3 months ago
The Distinctiveness, Detectability, and Robustness of Local Image Features
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...
Gustavo Carneiro, Allan D. Jepson
CVPR
1998
IEEE
15 years 11 months ago
A Radial Cumulative Similarity Transform for Robust Image Correspondence
We develop a local image-correspondence algorithm which performs well near occluding boundaries. Unlike traditional robust methods, our method can find correspondences when the on...
Trevor Darrell
ICCV
2007
IEEE
15 years 11 months ago
A Globally Optimal Algorithm for Robust TV-L1 Range Image Integration
Robust integration of range images is an important task for building high-quality 3D models. Since range images, and in particular range maps from stereo vision, may have a substa...
Christopher Zach, Thomas Pock, Horst Bischof