Affine Structure from Line Correspondences with Uncalibrated Affine Cameras

Long Quan 1 Takeo Kanade 2
1 MOVI - Modeling, localization, recognition and interpretation in computer vision
GRAVIR - IMAG - Graphisme, Vision et Robotique, Inria Grenoble - Rhône-Alpes, CNRS - Centre National de la Recherche Scientifique : FR71
Abstract : This paper presents a linear algorithm for recovering 3D affine shape and motion from line correspondences with uncalibrated affine cameras. The algorithm requires a minimum of seven line correspondences over three views. The key idea is the introduction of a one-dimensional projective camera. This converts 3D affine reconstruction of "line directions" into 2D projective reconstruction of "points". In addition, a line-based factorisation method is also proposed to handle redundant views. Experimental results both on simulated and real image sequences validate the robustness and the accuracy of the algorithm.
Document type :
Journal articles
Complete list of metadatas

https://hal.inria.fr/inria-00590071
Contributor : Team Perception <>
Submitted on : Tuesday, May 3, 2011 - 9:14:53 AM
Last modification on : Wednesday, April 11, 2018 - 1:57:38 AM
Long-term archiving on: Thursday, August 4, 2011 - 2:49:05 AM

Files

Quan-pami97.pdf
Files produced by the author(s)

Identifiers

Collections

IMAG | CNRS | INRIA | UGA

Citation

Long Quan, Takeo Kanade. Affine Structure from Line Correspondences with Uncalibrated Affine Cameras. IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 1997, 19 (8), pp.834--845. ⟨10.1109/34.608285⟩. ⟨inria-00590071⟩

Share

Metrics

Record views

187

Files downloads

279