Campus Units

Mechanical Engineering, Materials Science and Engineering, Electrical and Computer Engineering, Human Computer Interaction, Virtual Reality Applications Center

Document Type

Conference Proceeding

Conference

ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference

Publication Version

Published Version

Publication Date

2014

Journal or Book Title

Proceedings of the ASME 2014 International Design Engineering Technical Conferences & Computers and Information in Engineering Conference

Conference Title

IDETC/CIE 2014

Conference Date

2014

City

Buffalo, NY

Abstract

This paper presents a comparison of natural feature descrip- tors for rigid object tracking for augmented reality (AR) applica- tions. AR relies on object tracking in order to identify a physical object and to superimpose virtual object on an object. Natu- ral feature tracking (NFT) is one approach for computer vision- based object tracking. NFT utilizes interest points of a physcial object, represents them as descriptors, and matches the descrip- tors against reference descriptors in order to identify a phsical object to track. In this research, we investigate four different nat- ural feature descriptors (SIFT, SURF, FREAK, ORB) and their capability to track rigid objects. Rigid objects need robust de- scriptors since they need to describe the objects in a 3D space. AR applications are also real-time application, thus, fast feature matching is mandatory. FREAK and ORB are binary descriptors, which promise a higher performance in comparison to SIFT and SURF. We deployed a test in which we match feature descriptors to artificial rigid objects. The results indicate that the SIFT de- scriptor is the most promising solution in our addressed domain, AR-based assembly training.

Comments

This proceeding is published as Bermudez, Francely Franco, Christian Santana Diaz, Sheneeka Ward, Rafael Radkowski, Timothy Garrett, and James Oliver. "Comparison of Natural Feature Descriptors for Rigid-Object Tracking for Real-Time Augmented Reality." In ASME 2014 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, pp. V01BT02A044-V01BT02A044. American Society of Mechanical Engineers, 2014. Posted with permission.

Copyright Owner

ASME

Language

en

File Format

application/pdf

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