A Kronecker Product Model for Repeated Pattern Detection on 2D Urban Images
| Autor: | Ioannis Stamos, Yang Feng, Juan Liu, Emmanouil Z. Psarakis |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Kronecker product
Computer science business.industry Applied Mathematics Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition 02 engineering and technology Pattern detection symbols.namesake Computational Theory and Mathematics Artificial Intelligence 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Facade Computer Vision and Pattern Recognition Artificial intelligence business Software |
| Zdroj: | IEEE Transactions on Pattern Analysis and Machine Intelligence. 41:2266-2272 |
| ISSN: | 1939-3539 0162-8828 |
| Popis: | Repeated patterns (such as windows, balconies, and doors) are prominent and significant features in urban scenes. Therefore, detection of these repeated patterns becomes very important for city scene analysis. This paper attacks the problem of repeated pattern detection in a precise, efficient and automatic way, by combining traditional feature extraction with a Kronecker product based low-rank model. We introduced novel algorithms that extract repeated patterns from rectified images with solid theoretical support. Our method is tailored for 2D images of building façades and tested on a large set of façade images. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|