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Probabilistic structure from camera location using straight segments
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DOI：10.1016/S0262-8856(98)00107-3.png)
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Abstract
En 中文
A method to determine both the correspondences and the structure from the camera location is presented. Straight image segments are used as features. The location uncertainty is coded using a probabilistic model. The finite length of the image segments is considered, so a more restrictive equation (respect the usage of infinite straight lines) is used, and hence the spurious rejection is improved. The probabilistic modelling derives all the location uncertainty from image error and from camera location error. Thus, the uncertainty is fixed from a physical basis, simplifying the tuning for the matching thresholds. In addition, covariance matrices representing the reconstruction location error are also computed. Experimental results with real images for a trinocular system, and for a sequence of images are presented. (C) 1999 Elsevier Science B.V. All rights reserved.
Keywords:
structure from camera location
straight segment
probabilistic methods
trinocular stereo
robust feature matching
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