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» Highly Discriminative Invariant FEatures for Image Matching
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ISBI
2007
IEEE
14 years 4 months ago
N-Sift: N-Dimensional Scale Invariant Feature Transform for Matching Medical Images
We present a fully automated multimodal medical image matching technique. Our method extends the concepts used in the computer vision SIFT technique for extracting and matching di...
Warren Cheung, Ghassan Hamarneh
ISVC
2007
Springer
14 years 4 months ago
Rotation-Invariant Texture Recognition
Abstract. This paper proposes a new texture classification system, which is distinguished by: (1) a new rotation-invariant image descriptor based on Steerable Pyramid Decompositio...
Javier A. Montoya-Zegarra, João P. Papa, Ne...
WWW
2009
ACM
14 years 10 months ago
Detecting image spam using local invariant features and pyramid match kernel
Image spam is a new obfuscating method which spammers invented to more effectively bypass conventional text based spam filters. In this paper, we extract local invariant features ...
Haiqiang Zuo, Weiming Hu, Ou Wu, Yunfei Chen, Guan...
SSIAI
2000
IEEE
14 years 2 months ago
Using Moment Invariants and HMM in Facial Expression Recognition
Moment invariants are invariant under shifting, scaling and rotation. They are widely used in pattern recognition because of their discrimination power and robustness. HMM method ...
Y. Zhu, Liyanage C. De Silva, Chi Chung Ko
IBPRIA
2007
Springer
14 years 4 months ago
Unidimensional Multiscale Local Features for Object Detection Under Rotation and Mild Occlusions
Abstract. In this article, scale and orientation invariant object detection is performed by matching intensity level histograms. Unlike other global measurement methods, the presen...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...