Abstract

In this paper a method for obtaining affine structure from an image sequence taken by a translating camera with constant intrinsic parameters is presented. A general geometric constraint, expressed using the camera matrices, is derived and this constraint is used in a least squares solution of the problem. The first step is to obtain a projective reconstruction, in the form of a sequence of camera matrices (and a sparse set of feature points), and then these constraints are used to upgrade to an affine reconstruction. The proposed algorithm extends previous results of affine structure recovery from two images with a translating camera to the general case of a sequence of images. The proposed method is illustrated in both simulated and real experiments.Keywordsstructure and motion estimationaffine cameratranslating motionstratification

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.