7 December 1981 Surface Location In Scene Content Analysis
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Proceedings Volume 0292, Processing of Images and Data from Optical Sensors; (1981); doi: 10.1117/12.932826
Event: 25th Annual Technical Symposium, 1981, San Diego, United States
Abstract
The purpose of this paper is to describe techniques and algorithms for the location in three dimensions of planar and curved object surfaces using a computer vision approach. Stereo imaging techniques are demonstrated for planar object surface location using automatic segmentation, vertex location and relational table matching. For curved surfaces, the locations of corresponding 'points is very difficult. However, an example using a grid projection technique for the location of the surface of a curved cup is presented to illustrate a solution. This method consists of first obtaining the perspective transformation matrix from the images, then using these matrices to compute the three dimensional point locations of the grid points on the surface. These techniques may be used in object location for such applications as missile guidance, robotics, and medical diagnosis and treatment.
© (1981) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
E. L. Hall, J. B. K. Tio, C. A. McPherson, J. J. Hwang, "Surface Location In Scene Content Analysis", Proc. SPIE 0292, Processing of Images and Data from Optical Sensors, (7 December 1981); doi: 10.1117/12.932826; https://doi.org/10.1117/12.932826
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KEYWORDS
Image segmentation

Cameras

Image processing

Optical spheres

3D image processing

Matrices

Image sensors

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