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MM
2010
ACM
462views Multimedia» more  MM 2010»
15 years 7 months ago
KPB-SIFT: a compact local feature descriptor
Invariant feature descriptors such as SIFT and GLOH have been demonstrated to be very robust for image matching and object recognition. However, such descriptors are typically of ...
Gangqiang Zhao, Ling Chen, Gencai Chen, Junsong Yu...
CVIU
2008
144views more  CVIU 2008»
15 years 6 months ago
Speeded-Up Robust Features (SURF)
This article presents a novel scale- and rotation-invariant detector and descriptor, coined SURF (Speeded-Up Robust Features). SURF approximates or even outperforms previously pro...
Herbert Bay, Andreas Ess, Tinne Tuytelaars, Luc J....
TMI
2002
143views more  TMI 2002»
15 years 6 months ago
A Support Vector Machine Approach for Detection of Microcalcifications
In this paper, we investigate an approach based on support vector machines (SVMs) for detection of microcalcification (MC) clusters in digital mammograms, and propose a successive ...
Issam El-Naqa, Yongyi Yang, Miles N. Wernick, Niko...
173
Voted
CVPR
2004
IEEE
16 years 8 months ago
Shaping Receptive Fields for Affine Invariance
The Gaussian kernel has played a central role in multi-scale methods for feature extraction and matching. In this paper, a method for shaping the filter using the local image stru...
S. Ravela
ICANNGA
2007
Springer
100views Algorithms» more  ICANNGA 2007»
16 years 26 days ago
Genetic-Greedy Hybrid Approach for Topological Active Nets Optimization
In this paper we propose a genetic and greedy algorithm combination for the optimization of the Topological Active Nets (TAN) model. This is a deformable model used for image segme...
José Santos, Óscar Ibáñ...