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» Learning 3-D object orientation from images
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ICPR
2006
IEEE
16 years 7 months ago
A New Structural Constraint and its Application in Wide Baseline Matching
We introduce a new structural constraint that can be used for matching points in image pairs taken from a wide baseline. No assumption is made about the geometry of the 3?D points...
Roberto Manduchi, Xiaoye Lu
ICCV
2007
IEEE
16 years 8 months ago
Shape from Varying Illumination and Viewpoint
We address the problem of reconstructing the 3-D shape of a Lambertian surface from multiple images acquired as an object rotates under distant and possibly varying illumination. ...
Neel Joshi, David J. Kriegman
ICIP
2008
IEEE
16 years 1 months ago
Efficient motion estimation under varying illumination
In this paper, we show how to estimate, accurately and efficiently, the 3D motion of a rigid or non-rigid object, and time-varying lighting in a dynamic scene. This is achieved i...
Yilei Xu, Amit K. Roy Chowdhury
CIVR
2008
Springer
279views Image Analysis» more  CIVR 2008»
15 years 8 months ago
Semi-supervised learning of object categories from paired local features
This paper presents a semi-supervised learning (SSL) approach to find similarities of images using statistics of local matches. SSL algorithms are well known for leveraging a larg...
Wen Wu, Jie Yang
PCM
2009
Springer
145views Multimedia» more  PCM 2009»
16 years 1 months ago
Non-linear Bi-directional Prediction for Depth Coding
A depth image represents a relative distance from a camera to an object in the three-dimensional (3-D) space and it is widely used as 3-D information in computer vision and compute...
Kwan-Jung Oh, Yo-Sung Ho