On Multi-View Face Recognition Using Lytro Images. Chiesa, V. & Dugelay, J. In 2018 26th European Signal Processing Conference (EUSIPCO), pages 2250-2254, Sep., 2018. Paper doi abstract bibtex In this work, a simple and efficient approach for recognizing faces from light field images, notably from Lytro IlLum camera, is proposed. The suggested method is based on light field images property of being rendered through a multiview representation. In the preliminary analysis, feature vectors extracted from different views of the same Lytro picture are proved different enough to provide complementary information beneficial for face recognition purpose. Starting from a set of multiple views for each data, face verification problem is tackled and results are compared with those achieved with classical 2D images simulated using a single view, i.e. the central one. Two experiments are described and, in both cases, the presented method shows superior performances than standard algorithms adopted by classical imaging sensors.
@InProceedings{8553572,
author = {V. Chiesa and J. Dugelay},
booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},
title = {On Multi-View Face Recognition Using Lytro Images},
year = {2018},
pages = {2250-2254},
abstract = {In this work, a simple and efficient approach for recognizing faces from light field images, notably from Lytro IlLum camera, is proposed. The suggested method is based on light field images property of being rendered through a multiview representation. In the preliminary analysis, feature vectors extracted from different views of the same Lytro picture are proved different enough to provide complementary information beneficial for face recognition purpose. Starting from a set of multiple views for each data, face verification problem is tackled and results are compared with those achieved with classical 2D images simulated using a single view, i.e. the central one. Two experiments are described and, in both cases, the presented method shows superior performances than standard algorithms adopted by classical imaging sensors.},
keywords = {cameras;face recognition;feature extraction;image representation;image sensors;single view;classical imaging sensors;multiview face recognition;Lytro images;Lytro IlLum camera;light field images property;multiview representation;Lytro picture;complementary information;face verification problem;classical 2D images;feature vector extraction;Face;Cameras;Face recognition;Feature extraction;Databases;Signal processing algorithms;Standards;Multi-view;light field images;face recognition;Lytro camera},
doi = {10.23919/EUSIPCO.2018.8553572},
issn = {2076-1465},
month = {Sep.},
url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570439738.pdf},
}
Downloads: 0
{"_id":"LiNLRWSNWddqyCtFt","bibbaseid":"chiesa-dugelay-onmultiviewfacerecognitionusinglytroimages-2018","authorIDs":[],"author_short":["Chiesa, V.","Dugelay, J."],"bibdata":{"bibtype":"inproceedings","type":"inproceedings","author":[{"firstnames":["V."],"propositions":[],"lastnames":["Chiesa"],"suffixes":[]},{"firstnames":["J."],"propositions":[],"lastnames":["Dugelay"],"suffixes":[]}],"booktitle":"2018 26th European Signal Processing Conference (EUSIPCO)","title":"On Multi-View Face Recognition Using Lytro Images","year":"2018","pages":"2250-2254","abstract":"In this work, a simple and efficient approach for recognizing faces from light field images, notably from Lytro IlLum camera, is proposed. The suggested method is based on light field images property of being rendered through a multiview representation. In the preliminary analysis, feature vectors extracted from different views of the same Lytro picture are proved different enough to provide complementary information beneficial for face recognition purpose. Starting from a set of multiple views for each data, face verification problem is tackled and results are compared with those achieved with classical 2D images simulated using a single view, i.e. the central one. Two experiments are described and, in both cases, the presented method shows superior performances than standard algorithms adopted by classical imaging sensors.","keywords":"cameras;face recognition;feature extraction;image representation;image sensors;single view;classical imaging sensors;multiview face recognition;Lytro images;Lytro IlLum camera;light field images property;multiview representation;Lytro picture;complementary information;face verification problem;classical 2D images;feature vector extraction;Face;Cameras;Face recognition;Feature extraction;Databases;Signal processing algorithms;Standards;Multi-view;light field images;face recognition;Lytro camera","doi":"10.23919/EUSIPCO.2018.8553572","issn":"2076-1465","month":"Sep.","url":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570439738.pdf","bibtex":"@InProceedings{8553572,\n author = {V. Chiesa and J. Dugelay},\n booktitle = {2018 26th European Signal Processing Conference (EUSIPCO)},\n title = {On Multi-View Face Recognition Using Lytro Images},\n year = {2018},\n pages = {2250-2254},\n abstract = {In this work, a simple and efficient approach for recognizing faces from light field images, notably from Lytro IlLum camera, is proposed. The suggested method is based on light field images property of being rendered through a multiview representation. In the preliminary analysis, feature vectors extracted from different views of the same Lytro picture are proved different enough to provide complementary information beneficial for face recognition purpose. Starting from a set of multiple views for each data, face verification problem is tackled and results are compared with those achieved with classical 2D images simulated using a single view, i.e. the central one. Two experiments are described and, in both cases, the presented method shows superior performances than standard algorithms adopted by classical imaging sensors.},\n keywords = {cameras;face recognition;feature extraction;image representation;image sensors;single view;classical imaging sensors;multiview face recognition;Lytro images;Lytro IlLum camera;light field images property;multiview representation;Lytro picture;complementary information;face verification problem;classical 2D images;feature vector extraction;Face;Cameras;Face recognition;Feature extraction;Databases;Signal processing algorithms;Standards;Multi-view;light field images;face recognition;Lytro camera},\n doi = {10.23919/EUSIPCO.2018.8553572},\n issn = {2076-1465},\n month = {Sep.},\n url = {https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570439738.pdf},\n}\n\n","author_short":["Chiesa, V.","Dugelay, J."],"key":"8553572","id":"8553572","bibbaseid":"chiesa-dugelay-onmultiviewfacerecognitionusinglytroimages-2018","role":"author","urls":{"Paper":"https://www.eurasip.org/proceedings/eusipco/eusipco2018/papers/1570439738.pdf"},"keyword":["cameras;face recognition;feature extraction;image representation;image sensors;single view;classical imaging sensors;multiview face recognition;Lytro images;Lytro IlLum camera;light field images property;multiview representation;Lytro picture;complementary information;face verification problem;classical 2D images;feature vector extraction;Face;Cameras;Face recognition;Feature extraction;Databases;Signal processing algorithms;Standards;Multi-view;light field images;face recognition;Lytro camera"],"metadata":{"authorlinks":{}}},"bibtype":"inproceedings","biburl":"https://raw.githubusercontent.com/Roznn/EUSIPCO/main/eusipco2018url.bib","creationDate":"2021-02-13T15:38:40.497Z","downloads":0,"keywords":["cameras;face recognition;feature extraction;image representation;image sensors;single view;classical imaging sensors;multiview face recognition;lytro images;lytro illum camera;light field images property;multiview representation;lytro picture;complementary information;face verification problem;classical 2d images;feature vector extraction;face;cameras;face recognition;feature extraction;databases;signal processing algorithms;standards;multi-view;light field images;face recognition;lytro camera"],"search_terms":["multi","view","face","recognition","using","lytro","images","chiesa","dugelay"],"title":"On Multi-View Face Recognition Using Lytro Images","year":2018,"dataSources":["yiZioZximP7hphDpY","iuBeKSmaES2fHcEE9"]}