NOTICE: Due to a lapse in annual appropriations, most of this website is not being updated. Learn more.
Form submissions will still be accepted but will not receive responses at this time. Sections of this site for programs using non-appropriated funds (such as NVLAP) or those that are excepted from the shutdown (such as CHIPS and NVD) will continue to be updated.
An official website of the United States government
Here’s how you know
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
Investigating the Bag-of-Words Method for 3D Shape Retrieval
Published
Author(s)
Afzal A. Godil, Xiaolan Li
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 retrieval (PGR) vs. global-to- global retrieval (GGR), and articulated vs. non-articulated; 2) The spatial information, which represented as concentric spheres, is integrated into the framework to improve the discriminative ability; 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 PGR task than the GGR task. 4) The BW approach is evaluated on non-articulated database PEB and articulated database McGill Shape Benchmark (MSB) and compared to other methods.
Godil, A.
and Li, X.
(2010),
Investigating the Bag-of-Words Method for 3D Shape Retrieval, EURASIP Journal on Advances in Signal Processing, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=905907
(Accessed October 1, 2025)