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» Learning epipolar geometry from image sequences
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CVPR
2000
IEEE
14 years 9 months ago
Parallel Projections for Stereo Reconstruction
This paper proposes a novel technique to computing geometric information from images captured under parallel projections. Parallel images are desirable for stereo reconstruction b...
Jinxiang Chai, Heung-Yeung Shum
ICIP
2003
IEEE
14 years 9 months ago
Extension of epipolar image analysis to circular camera movements
Epipolar image analysis is a robust method for 3D scene depth reconstruction that uses all available views of an image sequence simultaneously. It is restricted to horizontal, lin...
Ingo Feldmann, Peter Kauff, Peter Eisert
SMILE
1998
Springer
13 years 11 months ago
From Ordinal to Euclidean Reconstruction with Partial Scene Calibration
Abstract. Since uncalibrated images permit only projective reconstruction, metric information requires either camera or scene calibration. We propose a stratified approach to proje...
Daphna Weinshall, P. Anandan, Michal Irani
CVPR
2007
IEEE
14 years 9 months ago
On the Spacetime Geometry of Galilean Cameras
In this paper, a projection model is presented for cameras moving at constant velocity (which we refer to as Galilean cameras). To that end, we introduce the concept of spacetime ...
Yaser Sheikh, Alexei Gritai, Mubarak Shah
CVPR
2005
IEEE
14 years 9 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,...