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Proceedings Paper

Algebraic derivations of relative affine structure and applications to 3D reconstruction from 2D views
Author(s): Nassir Navab; Amnon Shashua
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Paper Abstract

We present an algebraic description of relative affine structure -- an invariant structure affinely related to the structure seen from one of the cameras. This algebraic description yields a simple canonical framework that unifies results in projective, affine, and Euclidean structure from motion. We then introduce a method for capturing the redundancy in recovering relative affine structure from a stream of perspective views. We propose a certain decomposition that on one hand involves an optimal projection of the contribution of each point at each frame onto a single bilinear equation; and on the other hand reveals a connection (bilinear) between the homography of an arbitrary plane and the translational component of motion. Given an estimation of the epipoles, which can be computed in a least squares manner for each frame separately, the decomposition equations yield a linear least squares method for solving for scene structure. The main results were applied to a real image sequence for the purpose of 3D reconstruction from 2D views, visual recognition by alignment, and image coding.

Paper Details

Date Published: 17 August 1994
PDF: 8 pages
Proc. SPIE 2357, ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision, (17 August 1994); doi: 10.1117/12.182821
Show Author Affiliations
Nassir Navab, Massachusetts Institute of Technology (United States)
Amnon Shashua, Massachusetts Institute of Technology (United States)


Published in SPIE Proceedings Vol. 2357:
ISPRS Commission III Symposium: Spatial Information from Digital Photogrammetry and Computer Vision
Heinrich Ebner; Christian Heipke; Konrad Eder, Editor(s)

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