Direct method for rotation estimation from spherical images using 3D mesh surfaces with SPHARM representation |
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| Affiliation: | 1. Laboratoire IBISC, Université d’Evry, France;2. Laboratoire d’Automatique, Université de Tlemcen, Algeria;3. Centre de Développement des Technologies Avancées, Algeria;1. Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. University Multimedia, Malaysia;3. The Chinese University of Hong Kong, Hong Kong;1. Department of Computer Science and Engineering, Jatiya Kabi Kazi Nazrul Islam University, Bangladesh;2. Department of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Bangladesh;1. Groupe d''Acoustique de l''Université de Sherbrooke, Sherbrooke, Canada;2. Centre for Interdisciplinary Research in Music, Media, and Technology, Montréal, Canada |
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| Abstract: | Since a large field of view obviously bears important advantages, the use of spherical images is becoming increasingly important in various computer vision and image processing applications. This paper presents a novel rotation estimation approach for spherical images based on 3D mesh representation of gray level intensity. Once the 3D meshes of the underlying spherical images are obtained, the 3D rotation can be estimated directly and efficiently, without feature extraction and matching process. Subsequently, we propose a direct method for 3D object rotation estimation using spherical harmonics representation with SVD decomposition and ICP algorithm for estimation refinement. Experimental results validate our approach and prove its suitability and robustness for rotation estimation. Moreover, it performs well against noisy images, brightness changes, image compression and occlusions. A comparative study of our proposed approach with four similar methods for 3D rotation estimation between spherical images, is realized to prove its effectiveness. |
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| Keywords: | Rotation estimation 3D mesh surfaces Spherical images Spherical harmonic functions Spherical parameterization 3D mesh generation |
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