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» Learning to Recognize Objects from Unseen Modalities
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CVPR
2010
IEEE
15 years 5 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
81
Voted
MVA
2007
127views Computer Vision» more  MVA 2007»
14 years 11 months ago
Appearance Manifold with Embedded Covariance Matrix for Robust 3D Object Recognition
We propose use of an appearance manifold with embedded covariance matrix as a technique for recognizing 3D objects from images that are influenced by geometric and quality-degrade...
Lina, Tomokazu Takahashi, Ichiro Ide, Hiroshi Mura...
ICVS
2009
Springer
14 years 7 months ago
Boosting with a Joint Feature Pool from Different Sensors
This paper introduces a new way to apply boosting to a joint feature pool from different sensors, namely 3D range data and color vision. The combination of sensors strengthens the ...
Dominik Alexander Klein, Dirk Schulz, Simone Frint...
ICRA
2010
IEEE
227views Robotics» more  ICRA 2010»
14 years 7 months ago
Efficient multi-view object recognition and full pose estimation
We present an approach for efficiently recognizing all objects in a scene and estimating their full pose from multiple views. Our approach builds upon a state of the art single-vie...
Alvaro Collet, Siddhartha S. Srinivasa
HAPTICS
2010
IEEE
14 years 7 months ago
What Is It Like to Be a Rat? Sensory Augmentation Study
The present study examined the human ability to learn a new sensory modality, specifically "whisking". An experimental apparatus containing artificial whiskers, force sen...
Avraham Saig, Amos Arieli, Ehud Ahissar