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» Object Detection Using Multi-local Feature Manifolds
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WACV
2005
IEEE
14 years 2 months ago
Incorporating Background Invariance into Feature-Based Object Recognition
Current feature-based object recognition methods use information derived from local image patches. For robustness, features are engineered for invariance to various transformation...
Andrew N. Stein, Martial Hebert
CVPR
2004
IEEE
14 years 14 days ago
Scale-Invariant Shape Features for Recognition of Object Categories
We introduce a new class of distinguished regions based on detecting the most salient convex local arrangements of contours in the image. The regions are used in a similar way to ...
Frédéric Jurie, Cordelia Schmid
CVPR
2012
IEEE
11 years 11 months ago
Manifold-based fingerprinting for target identification
In this paper, we propose a fingerprint analysis algorithm based on using product manifolds to create robust signatures for individual targets in motion imagery. The purpose of ta...
Kang-Yu Ni, Terrell N. Mundhenk, Kyungnam Kim, Yur...
ICPR
2000
IEEE
14 years 1 months ago
Probabilistic Saliency Approach for Elongated Structure Detection Using Deformable Models
In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
Xavier Orriols, Ricardo Toledo, Xavier Binefa, Pet...
ICRA
1999
IEEE
106views Robotics» more  ICRA 1999»
14 years 1 months ago
Haptic Exploration of Fine Surface Features
In this paper we consider the detection of small surface features, such as ridges and bumps, on the surface of an object during dextrous manipulation. First we review the represen...
Allison M. Okamura, Mark R. Cutkosky