Shape from unstructured light

Anner Kushnir; Nahum Kiryati

doi:10.1109/3DTV.2007.4379406

Shape from unstructured light

Anner Kushnir^*, Nahum Kiryati

^*Corresponding author for this work

School of Electrical Engineering

Tel Aviv University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

A structured light method for depth reconstruction using unstructured, essentially arbitrary projection patterns is presented. Unlike previous methods, the suggested approach allows the user to select the projection patterns from a given slide show or from movie frames, or to simply project noise, thus extending the range of possible applications. The system includes a projector and a single camera. Two progressive algorithms are developed for obtaining projector-camera correspondence, with each additional projection pattern improving the reliability of the final result. The method is experimentally demonstrated using two projection pattern sets - a vacation photo album and a set of random noise patterns. Confidence measures and a pattern selection algorithm are provided.

Original language	English
Title of host publication	Proceedings of 3DTV-CON
Publisher	IEEE Computer Society
ISBN (Print)	1424407222, 9781424407224
DOIs	https://doi.org/10.1109/3DTV.2007.4379406
State	Published - 2007
Event	1st International Conference on 3DTV, 3DTV-CON 2007 - Kos, Greece Duration: 7 May 2007 → 9 May 2007

Publication series

Name	Proceedings of 3DTV-CON

Conference

Conference	1st International Conference on 3DTV, 3DTV-CON 2007
Country/Territory	Greece
City	Kos
Period	7/05/07 → 9/05/07

Access to Document

10.1109/3DTV.2007.4379406

Cite this

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title = "Shape from unstructured light",

abstract = "A structured light method for depth reconstruction using unstructured, essentially arbitrary projection patterns is presented. Unlike previous methods, the suggested approach allows the user to select the projection patterns from a given slide show or from movie frames, or to simply project noise, thus extending the range of possible applications. The system includes a projector and a single camera. Two progressive algorithms are developed for obtaining projector-camera correspondence, with each additional projection pattern improving the reliability of the final result. The method is experimentally demonstrated using two projection pattern sets - a vacation photo album and a set of random noise patterns. Confidence measures and a pattern selection algorithm are provided.",

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year = "2007",

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AB - A structured light method for depth reconstruction using unstructured, essentially arbitrary projection patterns is presented. Unlike previous methods, the suggested approach allows the user to select the projection patterns from a given slide show or from movie frames, or to simply project noise, thus extending the range of possible applications. The system includes a projector and a single camera. Two progressive algorithms are developed for obtaining projector-camera correspondence, with each additional projection pattern improving the reliability of the final result. The method is experimentally demonstrated using two projection pattern sets - a vacation photo album and a set of random noise patterns. Confidence measures and a pattern selection algorithm are provided.

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ER -

Shape from unstructured light

Abstract

Publication series

Conference

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Cite this