Open AccessUncertainties associated with position, size and shape for point cloud data
Author(s) -
Alistair Forbes
Publication year - 2018
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1065/14/142023
Subject(s) - position (finance) , variance (accounting) , trace (psycholinguistics) , decomposition , frame (networking) , measure (data warehouse) , aggregate (composite) , reference frame , point (geometry) , point cloud , matrix (chemical analysis) , matrix decomposition , cloud computing , computer science , measurement uncertainty , mathematics , econometrics , statistics , data mining , artificial intelligence , geometry , physics , economics , philosophy , materials science , ecology , linguistics , composite material , biology , operating system , telecommunications , accounting , quantum mechanics , eigenvalues and eigenvectors , finance