Resultant Based Incremental Recovery of Camera Pose from Pairwise Matches

Yoni Kasten, Meirav Galun, Ronen Basri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Incremental (online) structure from motion pipelines seek to recover the camera matrix associated with an image I-n given n-1 images, I-1, ..., In-1, whose camera matrices have already been recovered. In this paper, we introduce a novel solution to the six-point online algorithm to recover the exterior parameters associated with I-n. Our algorithm uses just six corresponding pairs of 2D points, extracted each from I-n and from any of the preceding n - 1 images, allowing the recovery of the full six degrees of freedom of the n'th camera, and unlike common methods, does not require tracking feature points in three or more images. Our novel solution is based on constructing a Dixon resultant, yielding a solution method that is both efficient and accurate compared to existing solutions. We further use Bernstein's theorem to prove a tight bound on the number of complex solutions. Our experiments demonstrate the utility of our approach.

Original languageEnglish
Title of host publication2019 IEEE Winter Conference on Applications of Computer Vision
Subtitle of host publicationWACV 2019
PublisherIEEE Computer Society
Pages1080-1088
Number of pages9
ISBN (Electronic)9781728119755
DOIs
StatePublished - 2019
Event19th IEEE Winter Conference on Applications of Computer Vision (WACV) - Waikoloa Village
Duration: 7 Jan 201911 Jan 2019

Publication series

NameProceedings - 2019 IEEE Winter Conference on Applications of Computer Vision, WACV 2019

Conference

Conference19th IEEE Winter Conference on Applications of Computer Vision (WACV)
CityWaikoloa Village
Period7/01/1911/01/19

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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