Quality time-of-flight range imaging for feature-based registration using bacterial foraging

被引:11
|
作者
Bermejo, E. [1 ]
Cordon, O. [1 ,2 ,3 ]
Damas, S. [2 ]
Santamaria, J. [4 ]
机构
[1] Univ Granada, Dept Comp Sci & Artificial Intelligence, E-18071 Granada, Spain
[2] European Ctr Soft Comp, Mieres, Spain
[3] Univ Granada, Ctr Invest Tecnol Informac & Comunicac CITIC UGR, E-18071 Granada, Spain
[4] Univ Jaen, Dept Comp Sci, Jaen, Spain
关键词
Image registration; Evolutionary computation; 3D modelling; Time of flight; Bacterial foraging; OPTIMIZATION; ACCURACY; CURVES;
D O I
10.1016/j.asoc.2012.08.041
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Image registration is a widely tackled research topic in the computer vision and the computer graphics fields. This problem aims to find an optimal transformation or correspondence between images acquired under different conditions. Recently, a new 3D image acquisition device based on the time-of-flight technology has appeared which obtains range images from real-time 3D video sequences. In this contribution, we aim to study the feasibility of using this new class of cameras to face the 3D model reconstruction procedure. Our proposal is two-fold. First, we introduce a novel image preprocessing pipeline in order to improve the quality of time-of-flight range images and a subsequent feature extraction method considering both 2D and 3D images. As second major objective, we propose an adaptation of the evolutionary bacterial foraging optimization algorithm, which has recently emerged as a very powerful technique for real parameter optimization and gained a high interest for distributed optimization and control, to tackle the range image registration problem. Finally, we analyse the performance of our proposal against other state-of-the-art evolutionary image registration methods. (C) 2012 Elsevier B. V. All rights reserved.
引用
收藏
页码:3178 / 3189
页数:12
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