Camera pose estimation through two-view calibration

Xiang Wan; Guang-you Xu

doi:10.1117/12.131680

1 November 1992 Camera pose estimation through two-view calibration

Xiang Wan, Guang-you Xu

Proceedings Volume 1828, Sensor Fusion V; (1992) https://doi.org/10.1117/12.131680
Event: Applications in Optical Science and Engineering, 1992, Boston, MA, United States

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.

Citation Download Citation

Xiang Wan and Guang-you Xu "Camera pose estimation through two-view calibration", Proc. SPIE 1828, Sensor Fusion V, (1 November 1992); https://doi.org/10.1117/12.131680

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