Feature Description Based on LBP and Order Pooling
| Autor: | Wei Huang, Ying-Mei Wei, Ling-Da Wu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Pixel
business.industry Local binary patterns Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Scale-invariant feature transform Pattern recognition Feature (computer vision) Computer Science::Computer Vision and Pattern Recognition Histogram Computer Science::Multimedia Computer vision Artificial intelligence business Rotation (mathematics) Mathematics Feature detection (computer vision) |
| Zdroj: | 2013 International Conference on Virtual Reality and Visualization. |
| DOI: | 10.1109/icvrv.2013.40 |
| Popis: | A novel local image descriptor named OCLBP(Order based Complete Local Binary Patterns) is proposed in this paper. It firstly extracts CLBP(Complete Local Binary Patterns) features pixel-by-pixel in the local image patch, and then pooled the CLBP features based on order relations of the pixel brightness in the patch. Specifically, the CLBP feature is based on CSLBP and adds the information of center pixel. The pattern number of the pixels is reduced compared to CSLBP. Furthermore, in order to better meet the scale invariance, the descriptors is extracted in multi-scales and the final descriptor is constructed by concatenating the histograms in multi-scales. The performance of the proposed descriptor is similar to the state-of-the-art descriptors SIFT and CSLBP in the condition of perspective transformation and light changes. In the condition of scaling, rotation, blurring, and JPEG compression, our descriptor has a better performance against the above descriptors using standard benchmarks. |
| Databáze: | OpenAIRE |
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