Paper Info
Title
Exploring the Bag-of-Words method for 3D shape retrieval
Abstract
This paper investigates the capabilities of the Bag-of-Words (BW) method in the 3D shape retrieval field. The contributions of this paper are: 1) the 3D shape retrieval task is categorized from different points of view: specific vs. generic, partial-to-global (PG) vs. global-to-global (GG) retrieval, and articulated vs. non-articulated; 2) The spatial information, which is represented as concentric spheres, is integrated into the framework to improve the discriminative capability; 3) the analysis of the experimental results on Purdue Engineering Benchmark (PEB) reveals that some properties of the BW approach make it perform better on the PG task than the GG task. 4) The BW approach is evaluated on non-articulated database PEB and articulated database McGill Shape Benchmark (MSB) and compared to other methods.
Year
DOI
Venue
2009
10.1109/ICIP.2009.5414415
ICIP
Keywords
Field
DocType
concentric spheres,spin images,partial-to-global retrieval,purdue engineering benchmark,bag-of-words,bag-of-words method,articulated database,concentric sphere,spatial information,information retrieval,computer graphics,mcgill shape benchmark,bw approach,global-to-global retrieval,non-articulated database,pg task,shape retrieval task,shape retrieval field,gg task,nonarticulated database,3d shape retrieval,solid modeling,databases,histograms,bag of words,shape,visualization,benchmark testing
Spatial analysis,Bag-of-words model,Computer vision,Histogram,Pattern recognition,Visualization,Computer science,Solid modeling,Artificial intelligence,Discriminative model,Computer graphics,Benchmark (computing)
Conference
ISSN
ISBN
Citations 
1522-4880 E-ISBN : 978-1-4244-5655-0
978-1-4244-5655-0
13
PageRank 
References 
Authors
0.59
15
2
Name
Order
Citations
PageRank
Xiaolan Li1917.14
Afzal Godil261930.70