Recognition of 3D Free-Form Objects Using Segment-Based Stereo Vision

Sumi, Y.,Kawai, Y.,Yoshimi, T., Tomita, F.

Bombay（1998）

引用 33|浏览2

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摘要

We propose a new method to recognize 3D free-form objects from their apparent contours. It is the extension of our established method to recognize objects with fixed edges. Object models are compared with 3D boundaries which are extracted by segment-based stereo vision. Based on the local shapes of the boundaries, candidate transformations are generated. The candidates are verified and adjusted based on the whole shapes of the boundaries. Themodels are built from all-around range data of the objects. Experimental results show the effectiveness of the method.

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关键词

established method,segment-based stereo vision,all-around range data,object model,local shape,candidate transformation,new method,fixed edge,apparent contour,free-form object,computer vision,image reconstruction,object recognition,intelligent systems,stereo vision,image segmentation,data mining,shape,machine vision

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