Evaluation of two-view geometry methods with automatic ground-truth generation

Lakemond, Ruan, Fookes, Clinton, & Sridharan, Sridha (2013) Evaluation of two-view geometry methods with automatic ground-truth generation. Image and Vision Computing, 31(12), pp. 921-934.

View at publisher

Abstract

A large number of methods have been published that aim to evaluate various components of multi-view geometry systems. Most of these have focused on the feature extraction, description and matching stages (the visual front end), since geometry computation can be evaluated through simulation. Many data sets are constrained to small scale scenes or planar scenes that are not challenging to new algorithms, or require special equipment. This paper presents a method for automatically generating geometry ground truth and challenging test cases from high spatio-temporal resolution video. The objective of the system is to enable data collection at any physical scale, in any location and in various parts of the electromagnetic spectrum.

The data generation process consists of collecting high resolution video, computing accurate sparse 3D reconstruction, video frame culling and down sampling, and test case selection. The evaluation process consists of applying a test 2-view geometry method to every test case and comparing the results to the ground truth. This system facilitates the evaluation of the whole geometry computation process or any part thereof against data compatible with a realistic application. A collection of example data sets and evaluations is included to demonstrate the range of applications of the proposed system.

Impact and interest:

2 citations in Scopus
Search Google Scholar™
2 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 67046
Item Type: Journal Article
Refereed: Yes
Keywords: Evaluation, Database, Automated ground truth, Structure from motion, Multi-view geometry
DOI: 10.1016/j.imavis.2013.09.002
ISSN: 0262-8856
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Funding:
Copyright Owner: Copyright 2013 Elsevier B.V.
Deposited On: 07 Feb 2014 00:31
Last Modified: 09 Apr 2014 12:20

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page