Abstract | ||
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This work concerns the problem of determining the rototranslation between two 3D data sets. The sensor being used is Kinect, which yields large amount of data, thus processing all the point clouds in real-time on a standard PC is impossible. Thereforewe analyse and compare two approaches: the standard ICP algorithm, and a method that uses salient point features to reduce the amount of data. To obtain a range data registration procedure, which is both precise and robust to large displacements of the sensor we combine these two methods. |
Year | DOI | Venue |
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2013 | 10.1007/978-3-319-00969-8_82 | PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2013 |
Field | DocType | Volume |
Computer vision,Data set,Data registration,Pattern recognition,Computer science,Artificial intelligence,Motion estimation,Point cloud,Mobile robot,Salient | Conference | 226 |
ISSN | Citations | PageRank |
2194-5357 | 1 | 0.35 |
References | Authors | |
8 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Michal Nowicki | 1 | 31 | 4.68 |
Piotr Skrzypczynski | 2 | 148 | 25.07 |