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Segmentation Of Lines And Arcs And Its Application For Depth Recovery (1997)
| Venue: | In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4: 3161--3165 Computer |
| Citations: | 1 - 1 self |
BibTeX
@INPROCEEDINGS{Beß97segmentationof,
author = {Rüdiger Beß and Dietrich Paulus and Michael Harbeck},
title = {Segmentation Of Lines And Arcs And Its Application For Depth Recovery},
booktitle = {In Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 4: 3161--3165 Computer},
year = {1997},
pages = {3161--3165},
publisher = {Society Press}
}
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Abstract
In this paper we describe an advaced segmentation approach for stereo images improving the computation of depth compared to the commonly used straight line segmentation. Using a straight line -- circular arc approximation of chain coded lines, the number of primitives is reduced significantly. This approximation lowers the computational effort as well as the frequency of erroneous matches. Starting with matched pairs of primitives, a disparity image is computed containing the initial disparity values for a subsequent block matching algorithm. The output of this algorithm is the partially dense depth image of one aspect of the object. We describe the result of a parallel implementation using object--oriented programming techniques. In segmentation as well as in matching we evaluate color information to improve accuracy and reliability of the depth values. The algorithms are part of a system computing depth from monocular image sequences. Taking a sequence of different views by a camera ...
Keyphrases
depth recovery computational effort parallel implementation initial disparity value dense depth image color information erroneous match depth value stereo image different view advaced segmentation approach used straight line segmentation disparity image matched pair monocular image sequence subsequent block straight line circular arc approximation
