Robust algorithm for multiview registration
| Autor: | Rama Rao Nidamanuri, Dhanya S. Pankaj |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Image registration Graph theory 02 engineering and technology Filter (signal processing) 010501 environmental sciences 01 natural sciences Transformation matrix Robustness (computer science) Computer Science::Computer Vision and Pattern Recognition Outlier 0202 electrical engineering electronic engineering information engineering Redundancy (engineering) Graph (abstract data type) 020201 artificial intelligence & image processing Computer Vision and Pattern Recognition Algorithm Software ComputingMethodologies_COMPUTERGRAPHICS 0105 earth and related environmental sciences Mathematics |
| Zdroj: | IET Computer Vision. 11:96-103 |
| ISSN: | 1751-9640 |
| DOI: | 10.1049/iet-cvi.2016.0080 |
| Popis: | Multiview registration is an important stage in three-dimensional modelling pipeline. Motion averaging is an efficient approach for multiview registration which utilises the redundancy in overlap among the scans. The averaging of the underlying relative motions is performed in the corresponding Lie-algebra elements of the SE(3) transformation matrices. However, this method is non-robust and affected by the presence of outliers in the set of relative motions. The authors present a graph-based approach to filter out the outliers before performing averaging of motions. The relative motions are assigned weights based on their agreement with global motions and other relative motions. The results indicate that the authors’ approach can efficiently filter out the outliers and can thus introduce robustness to multiview registration using motion averaging. |
| Databáze: | OpenAIRE |
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