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» Approximate K-D Tree Search for Efficient ICP
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3DIM
2003
IEEE
13 years 8 months ago
Approximate K-D Tree Search for Efficient ICP
A method is presented that uses an Approximate Nearest Neighbor method for determining correspondences within the Iterative Closest Point Algorithm. The method is based upon the k...
Michael A. Greenspan, Mike Yurick
ICMCS
2006
IEEE
227views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Adaptive Dual AK-D Tree Search Algorithm for ICP Registration Applications
An algorithm for finding coupling points plays an important role in the Iterative Closest Point algorithm (ICP) which is widely used in registration applications in medical and 3-...
Jiann-Der Lee, Shih-Sen Hsieh, Chung-Hsien Huang, ...
EGH
2010
Springer
13 years 2 months ago
Parallel SAH k-D tree construction
The k-D tree is a well-studied acceleration data structure for ray tracing. It is used to organize primitives in a scene to allow efficient execution of intersection operations be...
Byn Choi, Rakesh Komuravelli, Victor Lu, Hyojin Su...
3DIM
2007
IEEE
13 years 11 months ago
Cached k-d tree search for ICP algorithms
The ICP (Iterative Closest Point) algorithm is the de facto standard for geometric alignment of threedimensional models when an initial relative pose estimate is available. The ba...
Andreas Nüchter, Kai Lingemann, Joachim Hertz...
WABI
2009
Springer
102views Bioinformatics» more  WABI 2009»
13 years 11 months ago
A Tree Based Method for the Rapid Screening of Chemical Fingerprints
Background: The fingerprint of a molecule is a bitstring based on its structure, constructed such that structurally similar molecules will have similar fingerprints. Molecular fin...
Thomas G. Kristensen, Jesper Nielsen, Christian N....