Uncalibrated Factorization Using a Variable Symmetric Affine Camera

Kenichi KANATANI
Yasuyuki SUGAYA
Hanno ACKERMANN

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E90-D    No.5    pp.851-858
Publication Date: 2007/05/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e90-d.5.851
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Image Recognition, Computer Vision
Keyword: 
factorization,  structure from motion,  affine camera,  self-calibration,  video image analysis,  

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Summary: 
In order to reconstruct 3-D Euclidean shape by the Tomasi-Kanade factorization, one needs to specify an affine camera model such as orthographic, weak perspective, and paraperspective. We present a new method that does not require any such specific models. We show that a minimal requirement for an affine camera to mimic perspective projection leads to a unique camera model, called symmetric affine camera, which has two free functions. We determine their values from input images by linear computation and demonstrate by experiments that an appropriate camera model is automatically selected.

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