A quasi linear reconstruction method from multiple perspective views

In this paper we describe a method for solving the Euclidean reconstruction problem with a perspective camera model by incrementally performing an Euclidean reconstruction with a weak perspective camera model. With respect to other methods that compute shape and motion from a sequence of images with...

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Bibliographic Details
Main Authors: Christy, S., Horaud, R.
Format: Conference Proceeding
Language:English
Subjects:
Cameras
Image converters
Image reconstruction
Reconstruction algorithms
Shape
Online Access:Request full text
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Summary:In this paper we describe a method for solving the Euclidean reconstruction problem with a perspective camera model by incrementally performing an Euclidean reconstruction with a weak perspective camera model. With respect to other methods that compute shape and motion from a sequence of images with a calibrated perspective camera, this method converges in a few iterations, is compositionally efficient, and does not suffer from the nonlinear nature of the problem. With respect to factorization and/or affine-invariant methods, this method solves for the sign (reversal) ambiguity in a very simple way and provides much more accurate reconstructions results.
DOI:10.1109/IROS.1995.526244