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Proceedings Paper

Camera pose estimation through two-view calibration
Author(s): Xiang Wan; Guang-you Xu
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Paper Abstract

In this paper the verification condition of the estimated 3D camera pose is discussed. We argue that the usual test is not perfect by using projection and/or back-projection relation between image points and their correspondence in reference frame. Due to input data noise and its impacts on the 2D-3D mapping relation, different combinations of camera intrinsic parameters and extrinsic parameters may represent the same camera pose and all the perspective transformation matrices derived from them meet the demands of the 2D-3D mapping relation constraints well. we call this the compensation of camera intrinsic parameters and extrinsic parameters. It makes the determination of 3D camera pose ambiguous. Two-view calibration should be adopted by using the intrinsic parameter consistency (INPAC) constraints to estimate reliable 3D camera pose. Camera rigid motion constraints are introduced to confirm the 3D camera pose data of two positions besides the usual projection test and back- projection test.

Paper Details

Date Published: 1 November 1992
PDF: 10 pages
Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); doi: 10.1117/12.131680
Show Author Affiliations
Xiang Wan, Tsinghua Univ. (China)
Guang-you Xu, Tsinghua Univ. (China)

Published in SPIE Proceedings Vol. 1828:
Sensor Fusion V
Paul S. Schenker, Editor(s)

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