The impossibility of affine reconstruction from perspective image pairs obtained by a translating camera with varying parameters

Authors:
Zhanyi Hu;Fuchao Wu;Guanghui Wang
Affiliations:
National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China;National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, P.O. Box 2728, Beijing 100080, PR China
Venue:
Pattern Recognition Letters
Year:
2003

Citing 3
Cited 2

Self-Calibration of Stationary Cameras

International Journal of Computer Vision
Multiple view geometry in computer visiond

Multiple view geometry in computer visiond
Affine Reconstruction from Perspective Image Pairs Obtained by a Translating Camera

Proceedings of the Second Joint European - US Workshop on Applications of Invariance in Computer Vision

Depth recovery and affine reconstruction under camera pure translation

Pattern Recognition
Self-calibration of stationary non-rotating zooming cameras

Image and Vision Computing

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Abstract

Contrary to the claim in the literature that the affine reconstruction is possible from two images captured by a translating camera with unknown and varying parameters, we show that such a reconstruction is in fact impossible. In other words, the knowledge that "the camera's motion between the two images is just a pure translation" is an insufficient piece of information for affine reconstruction.