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Published in:
2015 | OriginalPaper | Chapter
Feature Point Tracking Algorithm Evaluation for Augmented Reality in Handheld Devices
Authors : Amila Perera, Akila Pemasiri, Sameera Wijayarathna, Chameera Wijebandara, Chandana Gamage
Published in: Computer Vision - ACCV 2014 Workshops
Publisher: Springer International Publishing
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Abstract
In augmented reality applications for handheld devices, accuracy and speed of the tracking algorithm are two of the most critical parameters to achieve realism. This paper presents a comprehensive framework to evaluate feature tracking algorithms on these two parameters. While there is a substantial body of knowledge on these aspects, a novel feature introduced in this paper is the use of error associated with the estimated directional movement in performance measurements to improve the evaluation framework. The work described in this paper is a comparative evaluation of nine widely used feature point tracking algorithms using the developed measurement framework and the results are interpreted based on the characteristics of the algorithms as well as the characteristics of test image sequences.