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.

U.S. flag

An official website of the United States government

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.

PUBLICATIONS

A Benchmark for Best View Selection of 3D Objects

Published

Author(s)

Helin Dutagaci, Chun Pan (Benny) Cheung, Afzal A. Godil

Abstract

The best view selection corresponds to the task of automatically selecting the most representative view of a 3D model. In this paper, we describe a benchmark for evaluation of best view selection algorithms. The benchmark consists of the preferred views of 68 3D models provided by 26 human subjects. The data was collected using a web-based subjective experiment where the users were asked to select the most informative view of a 3D model. We provided a quantitative evaluation measure based on this ground truth data, and compared the performances of seven best view selection algorithms.
Proceedings Title
ACM Workshop on 3D Object Retrieval
Conference Dates
October 25-29, 2010
Conference Location
Florence
Conference Title
ACM Multimedia 2010
Pub Type
Conferences

Download Paper

Local Download

Keywords

Best view selection, 3D shape analysis
Information technology and Image and signal processing

Citation

Dutagaci, H. , (Benny), C. and Godil, A. (2010), A Benchmark for Best View Selection of 3D Objects, ACM Workshop on 3D Object Retrieval, Florence, -1, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=906379 (Accessed October 10, 2025)

Issues

If you have any questions about this publication or are having problems accessing it, please contact [email protected].

Created December 23, 2010, Updated February 19, 2017
Was this page helpful?