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» Recognizing Objects by Matching Oriented Points
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ECCV
2008
Springer
14 years 9 months ago
Multi-stage Contour Based Detection of Deformable Objects
We present an efficient multi stage approach to detection of deformable objects in real, cluttered images given a single or few hand drawn examples as models. The method handles de...
Saiprasad Ravishankar, Arpit Jain, Anurag Mittal
CVPR
2000
IEEE
14 years 9 months ago
Reliable Feature Matching across Widely Separated Views
In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Un...
Adam Baumberg
CVPR
1999
IEEE
14 years 9 months ago
Object Recognition with Color Cooccurrence Histograms
We use the color cooccurrence histogram (CH) for recognizing objects in images. The color CH keeps track of the number of pairs of certain colored pixels that occur at certain sep...
Peng Chang, John Krumm
CVPR
1999
IEEE
14 years 9 months ago
Shadow Gestures: 3D Hand Pose Estimation Using a Single Camera
This paper describes a system that uses a camera and a point light source to track a user's hand in three dimensions. Using depth cues obtained from projections of the hand a...
Jakub Segen, Senthil Kumar
ICCV
1998
IEEE
14 years 9 months ago
Representation and Self-Similarity of Shapes
Representing shapes is a signi cant problem for vision systems that must recognize or classify objects. We derive a representation for a given shape by investigating its self-simi...
Tyng-Luh Liu, Davi Geiger, Robert Kohn