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Performance Optimization of LLAH for Tracking Random Dots under Gaussian Noise
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  • Journal title : Journal of Broadcast Engineering
  • Volume 20, Issue 6,  2015, pp.912-920
  • Publisher : The Korean Institute of Broadcast and Media Engineers
  • DOI : 10.5909/JBE.2015.20.6.912
 Title & Authors
Performance Optimization of LLAH for Tracking Random Dots under Gaussian Noise
Park, Hanhoon;
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Unlike general texture-based feature description algorithms, Locally Likely Arrangement Hashing (LLAH) algorithm describes a feature based on the geometric relationship between its neighbors. Thus, even in poor-textured scenes or large camera pose changes, it can successfully describe and track features and enables to implement augmented reality. This paper aims to optimize the performance of LLAH algorithm for tracking random dots (
LLAH;random dot tracking;Gaussian noise;feature description;augmented reality;
 Cited by
밝기 정보를 결합한 LLAH의 성능 분석,박한훈;문광석;

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