An estimation-based approach for range image segmentation: on the reliability of primitive extraction

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Wang, Guoyu and Houkes, Zweitze and Ji, Guangrong and Zheng, Bing and Li, Xin (2003) An estimation-based approach for range image segmentation: on the reliability of primitive extraction. Pattern Recognition, 36 (1). pp. 157-169. ISSN 0031-3203

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Abstract:This paper presents a new algorithm for estimation-based range image segmentation. Aiming at surface-primitive extraction from range data, we focus on the reliability of the primitive representation in the process of region estimation. We introduce an optimal description of surface primitives, by which the uncertainty of a region estimate is explicitly represented with a covariance matrix. Then the reliability of an estimate is interpreted in terms of “measure of uncertainty”. The segmentation approach follows the region-growing scheme, in which the regions are estimated in an iterative way. With the probabilistic model proposed in this paper, surface homogeneity is defined and tested by an optimal criterion. A notable feature of the algorithm is that the order of merging is organized to lead the growth towards the most reliable representation of the merged region. Concerned with man-made objects in the scene, we restrict the class of surface primitives to be quadric or planar. The proposed algorithm has been applied to real data and synthetic data and demonstrated with experimental results.
Item Type:Article
Copyright:© 2003 Elsevier
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
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Link to this item:http://purl.utwente.nl/publications/74887
Official URL:http://dx.doi.org/10.1016/S0031-3203(02)00050-X
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