On the computation of motion from sequences of images-A review

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Least-squares fitting of two 3-d point sets.

K. Arun, T S Huang, S. Blostein (1987)

Two point sets {pi} and {p'i}; i = 1, 2,..., N are related by p'i = Rpi + T + Ni, where R is a rotation matrix, T a translation vector, and Ni a noise vector. Given {pi} and {p'i}, we present an algorithm for finding the least-squares solution of R and T, which is based on the singular value decomposition (SVD) of a 3 × 3 matrix. This new algorithm is compared to two earlier algorithms with respect to computer time requirements.

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A computer algorithm for reconstructing a scene from two projections

H. C. Longuet-Higgins (1981)

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Computational vision and regularization theory

Vincent Torre, Tomaso Poggio, Christof Koch (1985)

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Author and article information

Journal

Title: Proceedings of the IEEE

Abbreviated Title: Proc. IEEE

Publisher: Institute of Electrical and Electronics Engineers (IEEE)

ISSN (Print): 00189219

Publication date (Print): Aug. 1988

Volume: 76

Issue: 8

Pages: 917-935

Article

DOI: 10.1109/5.5965

SO-VID: 150b7061-42c8-4c6a-8230-63cba57d8ca4

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