Distance recovery of 3D objects from stereo images using Hough transform

Albert J. Parent; Patrick S. P. Wang

doi:10.1117/12.189103

13 October 1994 Distance recovery of 3D objects from stereo images using Hough transform

Albert J. Parent, Patrick S. P. Wang

Proceedings Volume 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision; (1994) https://doi.org/10.1117/12.189103
Event: Photonics for Industrial Applications, 1994, Boston, MA, United States

Abstract

This paper examines recovering the depth of an object from two stereo images by correlating matching feature points. The principle concern of this paper is to demonstrate one method of feature point extraction. The orientation of the two viewers with respect to each other is fixed, this allows us to make use of the epipolar constraint for depth recovery. The methodology for extracting feature points from each image are: perform edge detection on each original image; use the Hough transform to identify the lines which define the image; label feature points as the intersections of lines where the intersection is a valid point in the edge detected image. The above method was very accurate with respect to recovering the depth of input images which were in certain orientations. However, the algorithm was too sensitive to error in the Hough transform space to allow for consistent evaluation of depth for all orientations.

Citation Download Citation

Albert J. Parent and Patrick S. P. Wang "Distance recovery of 3D objects from stereo images using Hough transform", Proc. SPIE 2354, Intelligent Robots and Computer Vision XIII: 3D Vision, Product Inspection, and Active Vision, (13 October 1994); https://doi.org/10.1117/12.189103

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