A Computational Model For Sensing Depth From A Single 2-D Image

M. R. Sayeh; M. Daneshdoost; F. Pourboghrat

doi:10.1117/12.942869

12 March 1988 A Computational Model For Sensing Depth From A Single 2-D Image

M. R. Sayeh, M. Daneshdoost, F. Pourboghrat

Proceedings Volume 0850, Optics, Illumination, and Image Sensing for Machine Vision II; (1988) https://doi.org/10.1117/12.942869
Event: Advances in Intelligent Robotics Systems, 1987, Cambridge, CA, United States

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.

Citation Download Citation

M. R. Sayeh, M. Daneshdoost, and F. Pourboghrat "A Computational Model For Sensing Depth From A Single 2-D Image", Proc. SPIE 0850, Optics, Illumination, and Image Sensing for Machine Vision II, (12 March 1988); https://doi.org/10.1117/12.942869

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