An improved real-time natural feature tracking algorithm for AR application

Chen Jing*, Wang Yongtian, Li Yu, Hu Wenze, Zang Xiaojun

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

A real-time camera registration algorithm using nature features for augmented reality applications is presented. The system uses a single camera for visual tracking of the nature features extracted from the real scene. A limited number of calibrated key-frames and a rough 3D model of the part of the real environment are required. Accurate camera registration can be achieved by matching the input image and the keyframe, whose viewpoint is as close as possible to each other. The problem of wide baseline correspondence is solved by rendering an intermediate image. Extended Kalman filter is applied for jitter correction. The performance of the algorithm is tested using real image sequences. Experimental results demonstrate that our registration algorithm is accurate and robust, and it can handle significant aspect changes.

Original languageEnglish
Title of host publicationProceedings - 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006
Pages119-124
Number of pages6
DOIs
Publication statusPublished - 2006
Event16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006 - Hangzhou, China
Duration: 29 Nov 20061 Dec 2006

Publication series

NameProceedings - 16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006

Conference

Conference16th International Conference on Artificial Reality and Telexistence - Workshops, ICAT 2006
Country/TerritoryChina
CityHangzhou
Period29/11/061/12/06

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