MATEC Web Conf.
Volume 108, 20172017 International Conference on Mechanical, Aeronautical and Automotive Engineering (ICMAA 2017)
|Number of page(s)||4|
|Section||Image Processing and Information System|
|Published online||31 May 2017|
Model-based Pose Estimation for Texture-less Objects with Differential Evolution Algorithm
Graduate School of Engineering and Science, Shibaura Institute of Technology, Japan
This paper proposes a novel object-tracking method to estimate three dimensions position of texture-less objects using one camera system and 3D model. The system uses efficient chamfer matching method to calculated distances between 2D edge templates of pose hypotheses with edges from the Canny edge query image. Differential Evolution algorithm uses those distances as inputs to ensure the close optimum results and find the most suitable position of objects. For initialization the exhaustive searching is employed. With the good initialization, a smaller searching space is set to guaranty the online tracking ability. The first results showed the potential of the method in solving object tracking and detection problem.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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