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» Using Photometric Invariants for 3D Object Recognition
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ICCV
2009
IEEE
16 years 2 months ago
Detecting Interpretable and Accurate Scale-Invariant keypoints
This paper presents a novel method for detecting scale invariant keypoints. It fills a gap in the set of available methods, as it proposes a scale-selection mechanism for juncti...
Wolfgang F¨orstner, Timo Dickscheid, Falko Schind...
ICANN
2010
Springer
14 years 10 months ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg
78
Voted
WACV
2005
IEEE
15 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
CVIU
2008
207views more  CVIU 2008»
14 years 9 months ago
A differential geometric approach to representing the human actions
This paper presents a novel representation for human actions which encodes the variations in the shape and motion of the performing actor. When an actor performs an action, at eac...
Alper Yilmaz, Mubarak Shah
CVPR
2010
IEEE
15 years 3 months ago
Robust Order-based Methods for Feature Description
Feature-based methods have found increasing use in many applications such as object recognition, 3D reconstruction and mosaicing. In this paper, we focus on the problem of matchin...
Raj Gupta, Anurag Mittal, Harshal Patil