Show simple item record  

dc.contributor.authorMcClure, Shane H.
dc.contributor.authorCree, Michael J.
dc.contributor.authorDorrington, Adrian A.
dc.contributor.authorPayne, Andrew D.
dc.coverage.spatialConference held at San Jose, California, USAen_NZ
dc.date.accessioned2010-04-27T00:50:07Z
dc.date.available2010-04-27T00:50:07Z
dc.date.issued2010
dc.identifier.citationShane H. McClure, Michael J. Cree, Adrian A. Dorrington, and Andrew D. Payne, "Resolving depth measurement ambiguity with commercially available range imaging cameras," Image Processing: Machine Vision Applications III, David Fofi, Kurt S. Niel, Editors, Proc. SPIE, 7538, 75380K (2010).en
dc.identifier.urihttps://hdl.handle.net/10289/3825
dc.description.abstractTime-of-flight range imaging is typically performed with the amplitude modulated continuous wave method. This involves illuminating a scene with amplitude modulated light. Reflected light from the scene is received by the sensor with the range to the scene encoded as a phase delay of the modulation envelope. Due to the cyclic nature of phase, an ambiguity in the measured range occurs every half wavelength in distance, thereby limiting the maximum useable range of the camera. This paper proposes a procedure to resolve depth ambiguity using software post processing. First, the range data is processed to segment the scene into separate objects. The average intensity of each object can then be used to determine which pixels are beyond the non-ambiguous range. The results demonstrate that depth ambiguity can be resolved for various scenes using only the available depth and intensity information. This proposed method reduces the sensitivity to objects with very high and very low reflectance, normally a key problem with basic threshold approaches. This approach is very flexible as it can be used with any range imaging camera. Furthermore, capture time is not extended, keeping the artifacts caused by moving objects at a minimum. This makes it suitable for applications such as robot vision where the camera may be moving during captures. The key limitation of the method is its inability to distinguish between two overlapping objects that are separated by a distance of exactly one non-ambiguous range. Overall the reliability of this method is higher than the basic threshold approach, but not as high as the multiple frequency method of resolving ambiguity.en
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.publisherSPIEen_NZ
dc.rightsCopyright 2010 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.en
dc.sourceConference on Image Processing - Machine Vision Applications IIIen_NZ
dc.subjectrange imagingen
dc.subjecttime-of-flighten
dc.subjectambiguityen
dc.subjectphase unwrappingen
dc.subjectimage processingen
dc.subjectphaseen
dc.titleResolving depth measurement ambiguity with commercially available range imaging camerasen
dc.typeConference Contributionen
dc.identifier.doi10.1117/12.838786en
dc.relation.isPartOfImage Processing: Machine Vision Applications IIIen_NZ
pubs.begin-page1en_NZ
pubs.elements-id19493
pubs.end-page12en_NZ
pubs.finish-date2010-01-21en_NZ
pubs.place-of-publicationUSAen_NZ
pubs.start-date2010-01-19en_NZ
pubs.volumeProceedings of SPIEen_NZ


Files in this item

This item appears in the following Collection(s)

Show simple item record