Enhanced motion parameters estimation for an active vision system
| Autor: | B. Mertsching, M. Shafik |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Active vision system
Mean squared error business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Computer Graphics and Computer-Aided Design Motion vector Quarter-pixel motion Robustness (computer science) Motion estimation Structure from motion Segmentation Computer vision Computer Vision and Pattern Recognition Artificial intelligence business |
| Zdroj: | Pattern Recognition and Image Analysis. 18:370-375 |
| ISSN: | 1555-6212 1054-6618 |
| DOI: | 10.1134/s1054661808030024 |
| Popis: | In this paper, we present an enhanced approach for estimating 3D motion parameters from 2D motion vector fields. The proposed method achieves valuable reduction in computational time and shows high robustness against noise in the input data. The output of the algorithm is part in a multiobject segmentation approach implemented in an active vision system. Hence, the improvement in the motion parameters estimation process leads to speed-up in the overall segmentation process. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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