(Enter summary)
Abstract: This paper provides a review on techniques for computing a three-dimensional model of a scene from a single moving camera, with
unconstrained motion and unknown parameters. In the classical approach, called autocalibration or self-calibration, camera motion and
parameters are recovered first, using rigidity; then structure is easily computed. Recently, new methods based on the idea of stratification
have been proposed. They upgrade the projective structure, achievable from correspondences... (Update)
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BibTeX entry: (Update)
A. Fusiello. Uncalibrated Euclidean reconstruction: A review. Image and Vision Computing, 18(67) :555-563, May 2000. http://citeseer.ist.psu.edu/fusiello00uncalibrated.html More
@misc{ fusiello00uncalibrated,
author = "A. Fusiello",
title = "Uncalibrated Euclidean reconstruction: A review",
text = "A. Fusiello. Uncalibrated Euclidean reconstruction: A review. Image and
Vision Computing, 18(67) :555-563, May 2000.",
year = "2000",
url = "citeseer.ist.psu.edu/fusiello00uncalibrated.html" }
Citations (may not include all citations):
663
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Three-dimensional Computer Vision: a Geometric Viewpoint (context) - Faugeras - 1993
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What can be seen in three dimensions with an uncalibrated st.. (context) - Faugeras - 1992
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A theory of self-calibration of a moving camera (context) - Maybank, Faugeras - 1992
180
Euclidean reconstruction from uncalibrated views (context) - Hartley - 1993
174
Estimation of relative camera position for uncalibrated came.. (context) - Hartley - 1992
155
Algebraic Projective Geometry (context) - Semple, Kneebone - 1952
153
From projective to Euclidean space under any practical situa.. (context) - Bougnoux - 1998
106
A factorization based algorithm for multi-image projective s..
- Sturm, Triggs - 1996
105
Autocalibration and the absolute quadric
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99
Self-calibration from multiple views with a rotating camera (context) - Hartley - 1994
96
The fundamental matrix: theory (context) - Luong, Faugeras - 1996
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