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» Highly Discriminative Invariant FEatures for Image Matching
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MVA
2007
150views Computer Vision» more  MVA 2007»
15 years 1 months ago
Detecting the Degree of Anomal in Security Video
We have developed a method that can discriminate anomalous image sequences for more efficiently utilizing security videos. To match the wide popularity of security cameras, the me...
Kyoko Sudo, Tatsuya Osawa, Xiaojun Wu, Kaoru Wakab...
ICIP
2007
IEEE
16 years 1 months ago
A High-Speed Vision System for Moment-Based Analysis of Numerous Objects
We describe a high-speed vision system for real-time applications, which is capable of processing visual information at a frame rate of 1 kfps, including both imaging and processi...
Yoshihiro Watanabe, Takashi Komuro, Masatoshi Ishi...
VCIP
2003
170views Communications» more  VCIP 2003»
15 years 1 months ago
How good are the visual MPEG-7 features?
The study presented in this paper analyses descriptions extracted with MPEG-7-descriptors from visual content from the statistical point of view. Good descriptors should generate ...
Horst Eidenberger
CVPR
1997
IEEE
15 years 4 months ago
Deformable Multi Template Matching with Application to Portal Images
The exact positioning of patients during radiotherapy is essential for high precision treatment. The registration of portal image sequences can help to control the patient positio...
Martin Berger, Gaudenz Danuser
ECCV
2010
Springer
15 years 4 months ago
BRIEF: Binary Robust Independent Elementary Features
We propose to use binary strings as an efficient feature point descriptor, which we call BRIEF. We show that it is highly discriminative even when using relatively few bits and can...