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» Supershape Recovery from 3D Data Sets
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CVPR
2007
IEEE
14 years 4 months ago
Dense mirroring surface recovery from 1D homographies and sparse correspondences
In this work we recover the 3D shape of mirroring objects such as mirrors, sunglasses, and stainless steel objects. A computer monitor displays several images of parallel stripes,...
Stas Rozenfeld, Ilan Shimshoni, Michael Lindenbaum
TOG
2008
253views more  TOG 2008»
13 years 10 months ago
4-points congruent sets for robust pairwise surface registration
We introduce 4PCS, a fast and robust alignment scheme for 3D point sets that uses wide bases, which are known to be resilient to noise and outliers. The algorithm allows registeri...
Dror Aiger, Niloy J. Mitra, Daniel Cohen-Or
CVPR
1999
IEEE
15 years 2 days ago
Integrating Shape from Shading and Range Data Using Neural Networks
This paper presents a framework for integrating multiple sensory data, sparse range data and dense depth maps from shape from shading in order to improve the 3D reconstruction of ...
Mostafa G.-H. Mostafa, Sameh M. Yamany, Aly A. Far...
IJCV
2006
194views more  IJCV 2006»
13 years 10 months ago
Reconstructing Open Surfaces from Image Data
In this paper a method for fitting open surfaces to data obtained from images is presented using a level set representation of the surface. This is done by tracking a curve, repres...
Jan Erik Solem, Anders Heyden
CVPR
2007
IEEE
14 years 4 months ago
Single View Human Action Recognition using Key Pose Matching and Viterbi Path Searching
3D human pose recovery is considered as a fundamental step in view-invariant human action recognition. However, inferring 3D poses from a single view usually is slow due to the la...
Fengjun Lv, Ramakant Nevatia