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http://dx.doi.org/10.7736/KSPE.2013.30.6.601

Feature Detection using Measured 3D Data and Image Data  

Kim, Hansol (Department of Mechanical Engineering, Korea Univ.)
Jung, Keonhwa (Department of Mechanical Engineering, Korea Univ.)
Chang, Minho (Department of Mechanical Engineering, Korea Univ.)
Kim, Junho (School of Computer Science, Kookmin Univ.)
Publication Information
Journal of the Korean Society for Precision Engineering / v.30, no.6, 2013 , pp. 601-606 More about this Journal
Abstract
3D scanning is a technique to measure the 3D shape information of the object. Shape information obtained by 3D scanning is expressed either as point cloud or as polygon mesh type data that can be widely used in various areas such as reverse engineering and quality inspection. 3D scanning should be performed as accurate as possible since the scanned data is highly required to detect the features on an object in order to scan the shape of the object more precisely. In this study, we propose the method on finding the location of feature more accurately, based on the extended Biplane SNAKE with global optimization. In each iteration, we project the feature lines obtained by the extended Biplane SNAKE into each image plane and move the feature lines to the features on each image. We have applied this approach to real models to verify the proposed optimization algorithm.
Keywords
Biplane SNAKE; 3D feature optimization; Computer Vision;
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