Selection of local features for visual search
| Autor: | Massimo Balestri, Gianluca Francini, Skjalg Lepsoy |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Visual search
business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition Content-based image retrieval Computer Science::Computer Vision and Pattern Recognition Computer Science::Multimedia Signal Processing Computer Vision and Pattern Recognition Visual Word Artificial intelligence Electrical and Electronic Engineering business Software Selection (genetic algorithm) Mathematics |
| Zdroj: | Signal Processing: Image Communication. 28:311-322 |
| ISSN: | 0923-5965 |
| DOI: | 10.1016/j.image.2012.11.002 |
| Popis: | In a compact descriptor for visual search only a limited number of local features may be included. The estimated probability for correct match between keypoints provides a good criterion for selection of a subset. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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