Factorization-based structure-and-motion computation for generalized camera model

Yuchao Dai*, Mingyi He, Hongdong Li, Richard Hartley

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)

    Abstract

    Generalized camera model (GCM) has been introduced recently to unify the analysis and description of a variety of non-conventional camera designs (e.g. catadioptric and omnidirectional), as well as multi-camera systems. In this paper, we extend the well-known and powerful Tomasi-Kanade type factorization framework to generalized cameras. We first prove that even for such seemingly more complicated generalized cameras there is also a rank-4 constraint, similar to the case of using a single pinhole projective camera. This result is much simpler and more compact than a recent work suggesting a rank-13 tensor factorization. Secondly, we propose two GCM factorization algorithms to recover the structure and motion. We also provide theoretic convergence analysis for the algorithms. Experiments on synthetic data validate the theory and the proposed algorithms.

    Original languageEnglish
    Title of host publication2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
    DOIs
    Publication statusPublished - 2011
    Event2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011 - Xi'an, China
    Duration: 14 Sept 201116 Sept 2011

    Publication series

    Name2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011

    Conference

    Conference2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
    Country/TerritoryChina
    CityXi'an
    Period14/09/1116/09/11

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