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» Correspondence-free Structure from Motion
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CVPR
2000
IEEE
16 years 1 months ago
Structure from Motion without Correspondence
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the ma...
Frank Dellaert, Steven M. Seitz, Charles E. Thorpe...
105
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ICPR
2002
IEEE
15 years 4 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
CVPR
2009
IEEE
16 years 6 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...
ICPR
2008
IEEE
15 years 6 months ago
Dynamic structure from motion based on nonlinear adaptive observers
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
Ola Dahl, Anders Heyden
CVPR
2005
IEEE
16 years 1 months ago
Radon-Based Structure from Motion without Correspondences
We present a novel approach for the estimation of 3Dmotion directly from two images using the Radon transform. We assume a similarity function defined on the crossproduct of two i...
Ameesh Makadia, Christopher Geyer, Shankar Sastry,...