Scaling iterative closest point algorithm for registration of m–D point sets
- 31 August 2010
- journal article
- Published by Elsevier BV in Journal of Visual Communication and Image Representation
- Vol. 21 (5-6), 442-452
- https://doi.org/10.1016/j.jvcir.2010.02.005
Abstract
No abstract availableThis publication has 19 references indexed in Scilit:
- 3D registration using a new implementation of the ICP algorithm based on a comprehensive lookup matrix: Application to medical imagingPattern Recognition Letters, 2007
- Metric-based iterative closest point scan matching for sensor displacement estimationIEEE Transactions on Robotics, 2006
- A survey of approaches and challenges in 3D and multi-modal 3D+2D face recognitionComputer Vision and Image Understanding, 2006
- Matching 2.5D face scans to 3D modelsIEEE Transactions on Pattern Analysis and Machine Intelligence, 2005
- ICP registration using invariant featuresIEEE Transactions on Pattern Analysis and Machine Intelligence, 2002
- Robust Registration of 2D and 3D Point SetsPublished by British Machine Vision Association and Society for Pattern Recognition ,2001
- An orientation reliability matrix for the iterative closest point algorithmIEEE Transactions on Pattern Analysis and Machine Intelligence, 2000
- Iterative point matching for registration of free-form curves and surfacesInternational Journal of Computer Vision, 1994
- Object modelling by registration of multiple range imagesImage and Vision Computing, 1992
- A method for registration of 3-D shapesIEEE Transactions on Pattern Analysis and Machine Intelligence, 1992