1. Determination of Distance from a 2D Picture
- Author
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Nenad Radulovic, Roderick Melnik, Benny Lassen, Bruno Picasso, Jens Gravesen, Linxiang Wang, and Robert Piche
- Subjects
History ,Scanner ,Intersection curve ,business.industry ,ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION ,02 engineering and technology ,Intensity function ,01 natural sciences ,Computer Science Applications ,Education ,010309 optics ,Kernel (image processing) ,Computer Science::Computer Vision and Pattern Recognition ,0103 physical sciences ,0202 electrical engineering, electronic engineering, information engineering ,Free boundary condition ,020201 artificial intelligence & image processing ,Computer vision ,Artificial intelligence ,business ,Mathematics - Abstract
An optical device is used to scan a cavity. In a single incident the scanner produces what can be considered a blurred image of the intersection curve between a plane and the cavity. Mathematically the image represents an intensity function and that is obtained by integrating a certain kernel along the intersection curve. We suggest methods to determine the kernel and subsequently the intersection curve given the image. The methodology is tested with some success using an artificial, but realistic kernel and some synthetic images produced by this kernel.
- Published
- 2006
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