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Optical Engineering • new

Accurate three-dimensional pose recognition from monocular images using template matched filtering
Author(s): Kenia Picos; Victor H. Diaz-Ramirez; Vitaly Kober; Antonio S. Montemayor; Juan J. Pantrigo
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Paper Abstract

An accurate algorithm for three-dimensional (3-D) pose recognition of a rigid object is presented. The algorithm is based on adaptive template matched filtering and local search optimization. When a scene image is captured, a bank of correlation filters is constructed to find the best correspondence between the current view of the target in the scene and a target image synthesized by means of computer graphics. The synthetic image is created using a known 3-D model of the target and an iterative procedure based on local search. Computer simulation results obtained with the proposed algorithm in synthetic and real-life scenes are presented and discussed in terms of accuracy of pose recognition in the presence of noise, cluttered background, and occlusion. Experimental results show that our proposal presents high accuracy for 3-D pose estimation using monocular images.

Paper Details

Date Published: 7 June 2016
PDF: 11 pages
Opt. Eng. 55(6) 063102 doi: 10.1117/1.OE.55.6.063102
Published in: Optical Engineering Volume 55, Issue 6
Show Author Affiliations
Kenia Picos, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Victor H. Diaz-Ramirez, Ctr. de Investigación y Desarrollo de Tecnología Digital (Mexico)
Vitaly Kober, Ctr. de Investigación Científica y de Educación Superior de Ensenada B.C. (Mexico)
Chelyabinsk State Univ. (Russian Federation)
Antonio S. Montemayor, Univ. Rey Juan Carlos (Spain)
Juan J. Pantrigo, Universidad Rey Juan Carlos (Spain)


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