Local 3D structure recognition in range images
- 1 January 2008
- journal article
- Published by Institution of Engineering and Technology (IET) in IET Computer Vision
- Vol. 2 (4), 208-217
- https://doi.org/10.1049/iet-cvi:20080037
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.Keywords
This publication has 5 references indexed in Scilit:
- A performance evaluation of local descriptorsIeee Transactions On Pattern Analysis and Machine Intelligence, 2005
- Distinctive Image Features from Scale-Invariant KeypointsInternational Journal of Computer Vision, 2004
- Surface signatures: an orientation independent free-form surface representation scheme for the purpose of objects registration and matchingIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Using spin images for efficient object recognition in cluttered 3D scenesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1999
- Model-based object recognition in dense-range images—a reviewACM Computing Surveys, 1993