Paper
4 February 2010 Feature-based quality evaluation of 3D heterogeneous data registration
Taha Ridene, François Goulette
Author Affiliations +
Proceedings Volume 7526, Three-Dimensional Image Processing (3DIP) and Applications; 75260Z (2010) https://doi.org/10.1117/12.847722
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
Abstract
The production of 3D realistic map databases is a matter of increasing interest. An approach based on the fusion of heterogeneous 3D representations was studied in previous works. Three methods of rigid registration were tested as well as the behaviors of those algorithms. One of the most difficult problems is the quantitative evaluation of 3D registration. In this term we propose a new quantitative evaluation method based on reference features comparison to improve and compare the accuracy of the registration methods.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Taha Ridene and François Goulette "Feature-based quality evaluation of 3D heterogeneous data registration", Proc. SPIE 7526, Three-Dimensional Image Processing (3DIP) and Applications, 75260Z (4 February 2010); https://doi.org/10.1117/12.847722
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KEYWORDS
3D image processing

3D modeling

Clouds

Rigid registration

Feature extraction

3D acquisition

Databases

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