Learning part-based templates from large collections of 3D shapes

ACM Transactions on Graphics

Volumn 32, Issue 4, 2013, Pages

  Kim, Vladimir G ^a   Li, Wilmot ^b   Mitra, Niloy J ^c   Chaudhuri, Siddhartha ^a   Di Verdi, Stephen ^b,d   Funkhouser, Thomas ^a  

^a PRINCETON UNIVERSITY   (United States)

^b ADOBE RESEARCH   (United States)

^c UNIVERSITY COLLEGE LONDON   (United Kingdom)

^d GOOGLE   (United Kingdom)

Author keywords

Correspondence; Model collections; Part based template; Segmentation; Shape analysis

Indexed keywords

AUTOMATIC ALGORITHMS; CORRESPONDENCE; DATA-DRIVEN APPROACH; DEFORMATION MODELS; PART-BASED TEMPLATE; SEMANTIC SEGMENTATION; SHAPE ANALYSIS; SURFACE CORRESPONDENCE;

DATA PROCESSING; DEFORMATION; IMAGE SEGMENTATION;

CLUSTERING ALGORITHMS;

EID: 84880820276     PISSN: 07300301     EISSN: 15577368     Source Type: Journal    
DOI: 10.1145/2461912.2461933     Document Type: Article

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