Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/51777
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Type: Journal article
Title: Local 3D structure recognition in range images
Author: Flint, A.
Dick, A.
Van Den Hengel, A.
Citation: IET Computer Vision, 2008; 2(4):208-217
Publisher: Inst Engineering Technology-IET
Issue Date: 2008
ISSN: 1751-9632
1751-9640
Statement of
Responsibility: 
A. Flint, A. Dick, and A. van den Hengel
Abstract: A 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.
Keywords: local 3D structure recognition
range images
feature detector
feature descriptor
feature transform
local shape information
synthetic data
automatic detection
DOI: 10.1049/iet-cvi:20080037
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