1 April 1990 3-D Gradient and Curvature Measurement Using Local Image Information
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Proceedings Volume 1194, Optics, Illumination, and Image Sensing for Machine Vision IV; (1990) https://doi.org/10.1117/12.969852
Event: 1989 Symposium on Visual Communications, Image Processing, and Intelligent Robotics Systems, 1989, Philadelphia, PA, United States
Abstract
This paper describes an image processing method that measures 3-D gradient and curvature information directly from local surface information using structured moire light. The method relies on the use of a sinusoidal grating to produce the moire patterns. It is shown that the gradient can be estimated by ratioing the third and first spatial derivative of the gray-scale image, but this simple solution does not work well in practice. We derive an alternate solution that uses finite differences and computes a Least Square Estimate of the ratio for small regions of the surface. We describe the results of this method implemented on a PC-based image processing system. Initial results indicate that the method worked well, could be applied to many simple 3-D problems, and implemented on an inexpensive computer system.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harry S. Gallarda, Harry S. Gallarda, Leonard H. Bieman, Leonard H. Bieman, Kevin G. Harding, Kevin G. Harding, } "3-D Gradient and Curvature Measurement Using Local Image Information", Proc. SPIE 1194, Optics, Illumination, and Image Sensing for Machine Vision IV, (1 April 1990); doi: 10.1117/12.969852; https://doi.org/10.1117/12.969852
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