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Proceedings Paper

Robust object recognition in 3D scene by stereo vision image processing with the generalized Hough transform
Author(s): Ariel Fernández; Juan M. Llaguno
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Paper Abstract

Object recognition is an automated image processing application of great interest in areas ranging from defect inspection to robot vision. In this regard, the generalized Hough transform (GHT) is a well-established technique for the recognition of geometrical features out of binary images even corrupted by noise or when the target is partially occluded. In order to enhance the performance of the original algorithm in detecting a given geometrical feature out of a single image, we consider the transformation of an stereo pair of a 3D scene under the GHT, one of the images using the template we are looking for and the other using its corresponding according to the perspective transformation that relates the images of the stereo pair. Validation experiments using partially occluded targets in noisy environments are presented.

Paper Details

Date Published: 14 May 2019
PDF: 8 pages
Proc. SPIE 10997, Three-Dimensional Imaging, Visualization, and Display 2019, 109970U (14 May 2019); doi: 10.1117/12.2520050
Show Author Affiliations
Ariel Fernández, Univ. de la República Uruguay (Uruguay)
Juan M. Llaguno, Univ. de la República Uruguay (Uruguay)

Published in SPIE Proceedings Vol. 10997:
Three-Dimensional Imaging, Visualization, and Display 2019
Bahram Javidi; Jung-Young Son; Osamu Matoba, Editor(s)

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