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» Models from image triplets using epipolar gradient features
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IVC
2007
95views more  IVC 2007»
13 years 4 months ago
Models from image triplets using epipolar gradient features
In an application where sparse matching of feature points is used towards fast scene reconstruction, the choice of the type of features to be matched has an important impact on th...
Étienne Vincent, Robert Laganière
BMVC
2010
12 years 11 months ago
Epipolar Constraints for Multiscale Matching
Many recent keypoint detectors associate a local scale (for multiscale detectors) or even a full affine frame (for affine-invariant detectors) to each detected keypoint. Although ...
Bill Triggs, Pashmina Bendale
CVPR
2009
IEEE
14 years 11 months ago
Efficient Kernels for Identifying Unbounded-Order Spatial Features
Higher order spatial features, such as doublets or triplets have been used to incorporate spatial information into the bag-of-local-features model. Due to computational limits, ...
Yimeng Zhang (Carnegie Mellon University), Tsuhan ...
ECCV
2000
Springer
14 years 6 months ago
Camera Pose Estimation and Reconstruction from Image Profiles under Circular Motion
Abstract. This paper addresses the problem of motion estimation and reconstruction of 3D models from profiles of an object rotating on a turntable, obtained from a single camera. I...
Paulo R. S. Mendonça, Kwan-Yee Kenneth Wong...
ICIAR
2009
Springer
13 years 2 months ago
3D Human Pose Estimation from Static Images Using Local Features and Discriminative Learning
In this paper an approach to recover the 3D human body pose from static images is proposed. We adopt a discriminative learning technique to directly infer the 3D pose from appearan...
Suman Sedai, Farid Flitti, Mohammed Bennamoun, Du ...