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» Recognizing 3D Objects Using Photometric Invariant
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CVPR
2004
IEEE
15 years 11 months ago
Learning Methods for Generic Object Recognition with Invariance to Pose and Lighting
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
Fu Jie Huang, Léon Bottou, Yann LeCun
BMVC
2001
14 years 12 months ago
Hue that is invariant to brightness and gamma
Hue provides a useful and intuitive cue that is used in a variety of computer vision applications. Hue is an attractive feature as it captures intrinsic information about the colo...
Graham D. Finlayson, Gerald Schaefer
ICIP
2008
IEEE
15 years 11 months ago
Using point correspondences without projective deformation for multi-view stereo reconstruction
This paper proposes a novel algorithm to reconstruct a 3D surface from a calibrated set of images. In a first pass, it uses Scale Invariant Features Transform (SIFT) descriptor co...
Adrien Auclair, Nicole Vincent, Laurent D. Cohen
IJCAI
1989
14 years 10 months ago
A Homogeneous Framework for Visual Recognition
A homogeneous paradigm for evidence integration is presented, and a vision system to recognize 3D objects is demonstrated using this paradigm. A new concept called generalizedfeat...
Rick Kjeldsen, Ruud M. Bolle, Andrea Califano, Rus...
CVPR
2007
IEEE
15 years 11 months ago
Joint Priors for Variational Shape and Appearance Modeling
We are interested in modeling the variability of different images of the same scene, or class of objects, obtained by changing the imaging conditions, for instance the viewpoint o...
Jeremy D. Jackson, Anthony J. Yezzi, Stefano Soatt...