NDLI: 3D Vehicle Location Based on Improved Hausdorff Distance and Distributed Estimation Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Ying Chen Zhicheng Ji Chunjian Hua
Copyright Year	2009
Abstract	3D model is used for vision based vehicle location. An improved Hausdorff distance based on edge-strength is proposed to evaluate the similarity between 3D model projection and image feature, and to establish location optimization function In order to avoid local minimum during optimization, estimation of distribution algorithm concerning related multi-variables is used. The relationship between matching parameters are described with a probability model, and the distribution of parameter evolves towards the direction of dominant character through probability model learning and the corresponding operation, which is proposed to solve the problem of over many iteration and slow constringency velocity. The experiments show that the optimal matching parameters between 3D model and 2D image feature can be found accurately and efficiently, and the algorithm outperforms other approaches in both accuracy and rapidity.
Starting Page	433
Ending Page	436
File Size	467397
Page Count	4
File Format	PDF
ISBN	9781424435814
DOI	10.1109/ETCS.2009.358
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-03-07
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	object location distributed estimation Magnetohydrodynamics Automation Educational technology optimization algorithm Mechanical engineering image matching Vehicles Computer science Image matching Computer science education Optimal matching Pixel
Content Type	Text
Resource Type	Article

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