Local 3D structure recognition in range images

Simple item page
dc.contributor.authorFlint, A.
dc.contributor.authorDick, A.
dc.contributor.authorVan Den Hengel, A.
dc.date.issued2008
dc.description.abstractA feature detector and a feature descriptor are presented, which are applicable to 3D range data. The feature detector is used to identify locations in the range data at which the feature descriptor is applied. The feature descriptor, or feature transform, calculates a signature for each identified location on the basis of local shape information. The approach used in both the feature detector and the descriptor is motivated by the success of the scale invariant feature transform and speeded up robust features approaches in the 2D case. Using synthetic data, the authors evaluate the repeatability of the detector and robustness of the descriptor to global transformations and image noise. The complete system is then applied to the problem of automatic detection of repeated structure in real range images. © 2008 The Institution of Engineering and Technology.
dc.description.statementofresponsibilityA. Flint, A. Dick, and A. van den Hengel
dc.identifier.citationIET Computer Vision, 2008; 2(4):208-217
dc.identifier.doi10.1049/iet-cvi:20080037
dc.identifier.issn1751-9632
dc.identifier.issn1751-9640
dc.identifier.orcidDick, A. [0000-0001-9049-7345]
dc.identifier.orcidVan Den Hengel, A. [0000-0003-3027-8364]
dc.identifier.urihttp://hdl.handle.net/2440/51777
dc.language.isoen
dc.publisherInst Engineering Technology-IET
dc.source.urihttps://doi.org/10.1049/iet-cvi:20080037
dc.subjectlocal 3D structure recognition
dc.subjectrange images
dc.subjectfeature detector
dc.subjectfeature descriptor
dc.subjectfeature transform
dc.subjectlocal shape information
dc.subjectsynthetic data
dc.subjectautomatic detection
dc.titleLocal 3D structure recognition in range images
dc.typeJournal article
pubs.publication-statusPublished

Files

Collections

Computer Science publications