Accurate three-dimensional pose recognition from monocular images using template matched filtering

by Kenia Picos, Victor H. Diaz-Ramirez, Vitaly Kober, Antonio S. Montemayor, Juan J. Pantrigo
Abstract:
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.
Reference:
Accurate three-dimensional pose recognition from monocular images using template matched filtering (Kenia Picos, Victor H. Diaz-Ramirez, Vitaly Kober, Antonio S. Montemayor, Juan J. Pantrigo), In Optical Engineering, volume 55, 2016.
Bibtex Entry:
@article{picos16,
author = {Picos, Kenia and Diaz-Ramirez, Victor H. and Kober, Vitaly and Montemayor, Antonio S. and Pantrigo, Juan J.},
title = {Accurate three-dimensional pose recognition from monocular images using template matched filtering},
journal = {Optical Engineering},
volume = {55},
number = {6},
pages = {063102},
abstract = {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.},
year = {2016},
isbn = {0091-3286},
doi = {10.1117/1.OE.55.6.063102},
URL = { http://dx.doi.org/10.1117/1.OE.55.6.063102},
eprint = {}
}