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» Learning 3-D object orientation from images
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ICPR
2006
IEEE
15 years 12 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
99
Voted
ICCV
2007
IEEE
16 years 24 days 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
15 years 5 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 19 days 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»
15 years 5 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