Document Detail


Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration.
MedLine Citation:
PMID:  20607113     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
The problem of generating uniform deterministic samples over the rotation group, SO(3), is fundamental to computational biology, chemistry, physics, and numerous branches of computer science. We present the best-known method to date for constructing incremental, deterministic grids on SO(3); it provides: 1) the lowest metric distortion for grid neighbor edges, 2) optimal dispersion-reduction with each additional sample, 3) explicit neighborhood structure, and 4) equivolumetric partition of SO(3) by the grid cells. We also demonstrate the use of the sequence on motion planning problems.
Authors:
Anna Yershova; Swati Jain; Steven M Lavalle; Julie C Mitchell
Related Documents :
15446823 - Manual construction and mathematics- and computer-aided counting of stereoisomers. the ...
16023483 - Simulated parallel annealing within a neighborhood for optimization of biomechanical sy...
19014013 - Coded talk, scripted omissions: the micropolitics of aids talk in an affected community...
Publication Detail:
Type:  JOURNAL ARTICLE    
Journal Detail:
Title:  The International journal of robotics research     Volume:  29     ISSN:  1741-3176     ISO Abbreviation:  -     Publication Date:  2010 Jun 
Date Detail:
Created Date:  2010-9-13     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  101511318     Medline TA:  Int J Rob Res     Country:  -    
Other Details:
Languages:  ENG     Pagination:  801-812     Citation Subset:  -    
Affiliation:
Duke University, Durham, NC 27707, USA, yershova@cs.duke.edu.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Grant Support
ID/Acronym/Agency:
R01 GM065982-08//NIGMS NIH HHS; R01 GM078031-02//NIGMS NIH HHS; R01 GM065982-08//NIGMS NIH HHS; R01 GM065982-10//NIGMS NIH HHS; R01 GM078031-02//NIGMS NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Loss Function Based Ranking in Two-Stage, Hierarchical Models.
Next Document:  A window into a public program for prevention of mother to child transmission of HIV: evidence from ...