Paper
15 February 2012 Lossless description of 3D range models
Neslihan Bayramoğlu, A. Aydin Alatan
Author Affiliations +
Proceedings Volume 8305, Visual Information Processing and Communication III; 83050B (2012) https://doi.org/10.1117/12.910481
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States
Abstract
The improvements in scanning technologies lead obtaining and managing range image databases. Hence, need of describing and indexing this type of data arises. Since a range model owns different properties compared to complete 3D models, we propose a method that relies on Spherical Harmonics Transform (SHT) for retrieving similar models where the query and the database both consist of only range models. Although SHT, is not a new concept in shape retrieval research, we propose to utilize it for range images by representing the models in a world seen from the camera. The difference and advantage of our algorithm is being information lossless. That is the available shape information is completely included in obtaining the descriptor whereas other mesh retrieval applications utilizing SHT "approximates" the shape that leads information loss. The descriptor is invariant to scale and rotations about z-axis. Proposed method is tested on a large database having high diversity. Performance of the proposed method is superior to the performance of the D2 distribution.
© (2012) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Neslihan Bayramoğlu and A. Aydin Alatan "Lossless description of 3D range models", Proc. SPIE 8305, Visual Information Processing and Communication III, 83050B (15 February 2012); https://doi.org/10.1117/12.910481
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Cited by 1 scholarly publication.
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KEYWORDS
3D modeling

Spherical lenses

Databases

Data modeling

3D image processing

Image retrieval

Shape analysis

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