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» Meta-Analysis of Face Recognition Algorithms
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NIPS
2001
13 years 11 months ago
Categorization by Learning and Combining Object Parts
We describe an algorithm for automatically learning discriminative components of objects with SVM classifiers. It is based on growing image parts by minimizing theoretical bounds ...
Bernd Heisele, Thomas Serre, Massimiliano Pontil, ...
AHS
2006
IEEE
142views Hardware» more  AHS 2006»
14 years 4 months ago
On-Chip Evolution Using a Soft Processor Core Applied to Image Recognition
To increase the flexibility of single-chip evolvable hardware systems, we explore possibilities of systems with the evolutionary algorithm implemented in software on an onchip pr...
Kyrre Glette, Jim Torresen, Moritoshi Yasunaga, Yo...
WACV
2005
IEEE
14 years 3 months ago
Automatic Recognition of Colloquial Australian Sign Language
This paper presents an automatic Australian sign language (Auslan) recognition system, which tracks multiple target objects (the face and hands) throughout an image sequence and e...
Eun-Jung Holden, Gareth Lee, Robyn A. Owens
CRV
2011
IEEE
254views Robotics» more  CRV 2011»
12 years 9 months ago
Wavelet Model-based Stereo for Fast, Robust Face Reconstruction
—When reconstructing a specific type or class of object using stereo, we can leverage prior knowledge of the shape of that type of object. A popular class of object to reconstru...
Alan Brunton, Jochen Lang, Eric Dubois, Chang Shu
MM
2004
ACM
195views Multimedia» more  MM 2004»
14 years 3 months ago
Facial expression representation and recognition based on texture augmentation and topographic masking
The variation of facial texture and surface due to the change of expression is an important cue for analyzing and modeling facial expressions. In this paper, we propose a new appr...
Lijun Yin, Johnny Loi, Wei Xiong