Matching optimization based on KLT algorithm in natural feature tracking of augmented reality
Authors: 
Gaoqi He, Lipeng Zhang, Wenhui Yue, Jia Ni, Yunfeng HuAuthors Info & Claims
Gaoqi He, Lipeng Zhang, Wenhui Yue, Jia Ni, Yunfeng HuAuthors Info & ClaimsPages 303 - 308
Abstract
Registration is one of the most difficult problems in augmented reality systems. One optimized method is proposed in this paper to remove the mismatched points. This method is based on the KLT tracking and uses the Fast algorithm to extract the natural feature. Math verification is given based on the small changes between the continuous frames captured by camera. An AR Reading system is achieved in this paper and SURF algorithm is exploited as page recognition process. The initial camera pose could be calculated in page recognition process. Experiments show that the optimization presented could improve the robustness of the registration and decrease the re-projection error.
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Index Terms
- Matching optimization based on KLT algorithm in natural feature tracking of augmented reality
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Information & Contributors
Information
Published In
December 2012
355 pages
ISBN:9781450318259
DOI:10.1145/2407516
- Conference Chairs:
- Daniel Thalmann,
- Enhua Wu,
- Zhigeng Pan,
- Program Chairs:
- Abdennour El Rhalibi,
- Nadia Magnenat-Thalmann,
- Matt Adcock
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Publication History
Published: 02 December 2012
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- Research-article
Funding Sources
- National S&T Major Project of China
- Natural Science Foundation of Shanghai
- Open Research Funding Program of KLGIS
Conference
VRCAI 2012
Sponsor:
VRCAI 2012: Virtual Reality Continuum and its Applications in Industry
December 2 - 4, 2012
Singapore, Singapore
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Overall Acceptance Rate 51 of 107 submissions, 48%
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