Efficient location, imaging and recognition of faces by single-pixel camera
| Autor: | Wojciech Roga, John Jeffers |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Computer science
business.industry Feature extraction ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Context (language use) 02 engineering and technology 01 natural sciences Facial recognition system Atomic and Molecular Physics and Optics Electronic Optical and Magnetic Materials QC350 Optics Compressed sensing Eigenface Hadamard transform Face (geometry) Video tracking 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence 010306 general physics business |
| ISSN: | 2040-8986 |
| Popis: | Face recognition is a problem with many practical applications. Modern image analysis methods such as object tracking, feature extraction, classification or verification that explore advanced techniques of machine learning and compressive sensing have been used for this purpose. Many of these methods, which are usually applied in image post-processing, are adaptable to fast intelligent viewing with a single-pixel camera. We study such a camera in the context of face recognition with limited information. We seek the optimal basis of patterns for the camera as well as to resolve practical issues related to face localisation and alignment. We compare the use of the Hadamard and eigenface bases for imaging and verification of faces. For the latter task, we develop a simple algorithm based on compressive sensing. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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