On Computing Mapping of 3D Objects: A Survey Academic Article

abstract

• We review the computation of 3D geometric data mapping, which establishes one-to-one correspondence between or among spatial/spatiotemporal objects. Effective mapping benefits many scientific and engineering tasks that involve the modeling and processing of correlated geometric or image data. We model mapping computation as an optimization problem with certain geometric constraints and go through its general solving pipeline. Different mapping algorithms are discussed and compared according to their formulations of objective functions, constraints, and optimization strategies.

authors

• Li, Xin

published proceedings

• ACM COMPUTING SURVEYS

author list (cited authors)

• Li, X., & Iyengar, S. S.

citation count

• 47

complete list of authors

• Li, Xin||Iyengar, SS

publication date

• January 2015

publisher

• Association for Computing Machinery (ACM)  Publisher

published in

• ACM Computing Surveys  Journal

keywords

• 3d Geometric Mapping
• Algorithms
• Shape Matching And Registration

Digital Object Identifier (DOI)

• 10.1145/2668020

start page

• 1

end page

• 45

volume

• 47

issue

• 2

URL

• http://dx.doi.org/10.1145/2668020