Volumetric descriptions from a single intensity image
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 4 - Volume 04
3D reconstruction and pose determination of the cutting tool from a single view
ISVC'07 Proceedings of the 3rd international conference on Advances in visual computing - Volume Part II
A study on automatic on-machine inspection system for 3D modeling and measurement of cutting tools
Journal of Intelligent Manufacturing
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One of the industrial applications for vision-based model reconstruction of surfaces of revolution (SOR) is to rebuild 3D models of rotating mill cutters. For this application, the automation of the process is crucial. One of the critical issues with the automation is the segmentation of the apparent contour. Therefore, this paper introduces a new approach for the automatic apparent contour extraction of SORs. It consists of three parts. Firstly, the region of SOR is located on image and the contour of SOR is extracted inside this region. Secondly, the extracted contour is partitioned into several portions based on curvature analysis. A property of SOR is used to verify the partitioning. Finally, the contour is classified into the apparent contours and the imaged cross sections by exploiting both 2D and 3D information. The experiment on machine tool verifies that the algorithms proposed are reliable and accurate in the industrial environment.