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» Non-Abelian invariant feature detection
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WWW
2009
ACM
14 years 11 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...
ICPR
2006
IEEE
14 years 12 months ago
Computation of Rotation Local Invariant Features using the Integral Image for Real Time Object Detection
We present a framework for object detection that is invariant to object translation, scale, rotation, and to some degree, occlusion, achieving high detection rates, at 14 fps in c...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ICPR
2006
IEEE
14 years 12 months ago
Robust Pose Invariant Facial Feature Detection and Tracking in Real-Time
In this paper, a robust technique is proposed to detect and track a set of twenty-eight prominent facial features under various facial expressions and face orientations in real-ti...
Qiang Ji, Zhiwei Zhu
ISVC
2009
Springer
14 years 5 months ago
Motion-Based View-Invariant Articulated Motion Detection and Pose Estimation Using Sparse Point Features
Abstract. We present an approach for articulated motion detection and pose estimation that uses only motion information. To estimate the pose and viewpoint we introduce a novel mot...
Shrinivas J. Pundlik, Stanley T. Birchfield
WACV
2005
IEEE
14 years 4 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert