Paper
3 October 1995 New method of calculating a cross-section area of an object from images
Yin Fan, Dezong Wang
Author Affiliations +
Abstract
In computer vision, there are many methods to obtain 3D information of objects from images. But the forms of 3D information are different from different methods. For example, in the way of shape from shading, orientation of surface normal can be obtained; in the way of stereo vision, 3D coordinate of points on the object can be obtained. This paper proposes a new method to calculate cross-section area of the object from surface normal by fitting curve. The new method is more precise than old method.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yin Fan and Dezong Wang "New method of calculating a cross-section area of an object from images", Proc. SPIE 2588, Intelligent Robots and Computer Vision XIV: Algorithms, Techniques, Active Vision, and Materials Handling, (3 October 1995); https://doi.org/10.1117/12.222692
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
3D vision

3D image processing

Computer vision technology

Machine vision

3D image reconstruction

3D metrology

Arteries

RELATED CONTENT

Integrated method of stereo matching for computer vision
Proceedings of SPIE (November 14 1996)
Efficient 3D interpolation method for 3D reconstruction
Proceedings of SPIE (April 13 2001)
Revisit to omni rig sensors What can be done...
Proceedings of SPIE (September 25 2003)
3D projective invariants from two images
Proceedings of SPIE (June 23 1993)

Back to Top