An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric

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Bibliographic Details
Title: An improved algorithm for two-image camera self-calibration and Euclidean structure recovery using absolute quadric
Authors: Huang, Chun-Rong1,2, Chen, Chu-Song2 song@iis.sinica.edu.tw, Chung, Pau-Choo1
Source: Pattern Recognition. Aug2004, Vol. 37 Issue 8, p1713-1722. 10p.
Subjects: Algorithms, Cameras, Calibration, Quadratic equations
Abstract: We present an improved algorithm for two-image camera self-calibration and Euclidean structure recovery, where the effective focal lengths of both cameras are assumed to be the only unknown intrinsic parameters. By using the absolute quadric, it is shown that the effective focal lengths can be computed linearly from two perspective images without imposing scene or motion constraints. Moreover, a quadratic equation derived from the absolute quadric is proposed for solving the parameters of the plane at infinity from two images, which upgrades a projective reconstruction to a Euclidean reconstruction. [Copyright &y& Elsevier]
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Database: Engineering Source
Description
Abstract:We present an improved algorithm for two-image camera self-calibration and Euclidean structure recovery, where the effective focal lengths of both cameras are assumed to be the only unknown intrinsic parameters. By using the absolute quadric, it is shown that the effective focal lengths can be computed linearly from two perspective images without imposing scene or motion constraints. Moreover, a quadratic equation derived from the absolute quadric is proposed for solving the parameters of the plane at infinity from two images, which upgrades a projective reconstruction to a Euclidean reconstruction. [Copyright &y& Elsevier]
ISSN:00313203
DOI:10.1016/j.patcog.2004.01.015