Probabilistic structure from camera location using straight segments

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摘要

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.

论文关键词:Structure from camera location,Straight segment,Probabilistic methods,Trinocular stereo,Robust feature matching

论文评审过程:Received 8 September 1997, Revised 14 April 1998, Accepted 20 April 1998, Available online 4 March 1999.

论文官网地址:https://doi.org/10.1016/S0262-8856(98)00107-3