Extended Gaussian images

Extended Gaussian images

This is a primer on extended Gaussian images. Extended Gaussian images are useful for representing the shapes of surfaces. They can be computed easily from: 1. needle maps obtained using photometric stereo; or 2. depth maps generated by ranging devices or binocular stereo. Importantly, they can also...

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Veröffentlicht in:Proceedings of the IEEE 1984-01, Vol.72 (12), p.1671-1686
1. Verfasser: Horn, B.K.P.
Format: Artikel
Sprache:eng
Schlagworte:
Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Image sampling
Image sensors
Interpolation
Machine vision
Needles
Pattern recognition. Digital image processing. Computational geometry
Photometry
Position measurement
Shape
Solid modeling
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Beschreibung
Zusammenfassung:This is a primer on extended Gaussian images. Extended Gaussian images are useful for representing the shapes of surfaces. They can be computed easily from: 1. needle maps obtained using photometric stereo; or 2. depth maps generated by ranging devices or binocular stereo. Importantly, they can also be determined simply from geometric models of the objects. Extended Gaussian images can be of use in at least two of the tasks facing a machine vision system: 1. recognition, and 2. determining the attitude in space of an object. Here, the extended Gaussian image is defined and some of its properties discussed. An elaboration for nonconvex objects is presented and several examples are shown.
ISSN:0018-9219
1558-2256
DOI:10.1109/PROC.1984.13073