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» Distinctiveness Maps for Image Matching
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CVPR
2012
IEEE
11 years 10 months ago
On SIFTs and their scales
Scale invariant feature detectors often find stable scales in only a few image pixels. Consequently, methods for feature matching typically choose one of two extreme options: mat...
Tal Hassner, Viki Mayzels, Lihi Zelnik-Manor
ICIP
2006
IEEE
14 years 9 months ago
A Hierarchical ASM/AAM Approach in a Stochastic Framework for Fully Automatic Tracking and Recognition
This paper deals with the fully automatic extraction of classifiable person features out of a video stream with challenging background. Basically the task can be split in two part...
Andre Störmer, Gerhard Rigoll, Sascha Schreib...
ECCV
2006
Springer
14 years 9 months ago
Multivariate Relevance Vector Machines for Tracking
This paper presents a learning based approach to tracking articulated human body motion from a single camera. In order to address the problem of pose ambiguity, a one-to-many mappi...
Arasanathan Thayananthan, Ramanan Navaratnam, Bj&o...
ENGL
2007
179views more  ENGL 2007»
13 years 7 months ago
Wearable Real-Time Stereo Vision for the Visually Impaired
— Visually impaired find their navigation difficult as they often lack the needed information for bypassing obstacles and hazards. Electronic Travel Aids (ETAs) are devices that ...
G. Balakrishnan, G. Sainarayanan, R. Nagarajan, Sa...
PR
2000
102views more  PR 2000»
13 years 7 months ago
Bayesian face recognition
We propose a new technique for direct visual matching of images for the purposes of face recognition and image retrieval, using a probabilistic measure of similarity, based primar...
Baback Moghaddam, Tony Jebara, Alex Pentland