3D structure recovery from uncalibrated image sequence

Dan Fu; Jian Zhou; Lichun Li; Heng Zhang; Qifeng Yu

doi:10.1117/12.757747

29 November 2007 3D structure recovery from uncalibrated image sequence

Dan Fu, Jian Zhou, Lichun Li, Heng Zhang, Qifeng Yu

Proceedings Volume 6833, Electronic Imaging and Multimedia Technology V; 68332Y (2007) https://doi.org/10.1117/12.757747
Event: Photonics Asia 2007, 2007, Beijing, China

Abstract

A new approach to recover 3D structure from the uncalibrated image sequence is presented. Unlike previous methods, the method recovers 3D models' initial values by enforcing the geometric constraints of the straight line in the scene and then gets accurate results by bundle adjustment. The focal length and the principal point of each camera are supposed to be unknown intrinsic parameters. The similarity invariance of the straight line that vertical straight line pairs in the scene keep vertical in similarity transformation are taken account of as a geometric constraint. A projective reconstruction performed by an iterative factorization algorithm is upgraded to a Euclidean one with the constraint. Bundle adjustment refines a visual reconstruction to produce jointly optimal structure and viewing parameter estimates when we get the ideal initial values from the method above. Experiments results on synthetic and real image sequences verified the new approach's precise and efficiency.

Citation Download Citation

Dan Fu, Jian Zhou, Lichun Li, Heng Zhang, and Qifeng Yu "3D structure recovery from uncalibrated image sequence", Proc. SPIE 6833, Electronic Imaging and Multimedia Technology V, 68332Y (29 November 2007); https://doi.org/10.1117/12.757747

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KEYWORDS

Cameras

Reconstruction algorithms

Image restoration

3D modeling

3D image processing

Calibration

3D image reconstruction

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