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Proceedings Paper

A Computational Model For Sensing Depth From A Single 2-D Image
Author(s): M. R. Sayeh; M. Daneshdoost; F. Pourboghrat
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Paper Abstract

It is generally a difficult task to obtain a complete geometrical model of a scene given a limited number of storage spaces, or to construct a 3-D scene geometry from one or more 2-D images. In this paper we focus on extracting information about a 3-D scene geometry given a 2-D image. The degree of blurriness (or sharpness) gives rise to computation of depth of an object. A method of shape from sharpness, based on this concept, is introduced. Given a point source image, its distance from a lens is obtained. This can be applied to an arbitrary scene consisting of superposition of many point sources.

Paper Details

Date Published: 12 March 1988
PDF: 4 pages
Proc. SPIE 0850, Optics, Illumination, and Image Sensing for Machine Vision II, (12 March 1988); doi: 10.1117/12.942869
Show Author Affiliations
M. R. Sayeh, Southern Illinois University at Carbondale (United States)
M. Daneshdoost, Southern Illinois University at Carbondale (United States)
F. Pourboghrat, Southern Illinois University at Carbondale (United States)


Published in SPIE Proceedings Vol. 0850:
Optics, Illumination, and Image Sensing for Machine Vision II
Donald J. Svetkoff, Editor(s)

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