Curvature histogram features for retrieval of images of smooth 3D objects
| Autor: | Innokentii Zhdanov, Oleg Scherbakov, Alexey Potapov, Maxim Peterson |
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| Rok vydání: | 2014 |
| Předmět: |
History
Feature transform business.industry Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Histogram matching Scale-invariant feature transform Pattern recognition Base (topology) Curvature Computer Science Applications Education Computer Science::Computer Vision and Pattern Recognition Histogram Computer Science::Multimedia Computer vision Artificial intelligence business ComputingMethodologies_COMPUTERGRAPHICS |
| Zdroj: | Journal of Physics: Conference Series. 536:012013 |
| ISSN: | 1742-6596 1742-6588 |
| DOI: | 10.1088/1742-6596/536/1/012013 |
| Popis: | We consider image features on the base of histograms of oriented gradients (HOG) with addition of contour curvature histogram (HOG-CH), and also compare it with results of known scale-invariant feature transform (SIFT) approach in application to retrieval of images of smooth 3D objects. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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