[Demo] A mobile augmented reality system for portion estimation
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Year
: 2014DOI: 10.1109/ICACT.2014.6779050
Keyword(s): face recognition,n feature extraction,n image classification,n learning (artificial intelligence),n Adaboost training time reduction,n Harr-like feature robustness property,n classifier,n feature transformation method,n multiview face detection method,n real-time HD images,n rotated face detection,n Detectors,n Face,n Face detection,n Feature extraction,n Robustness,n Training,n Transforms,n Cascade Classifier,n Face Detection,n Feature
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[Demo] A mobile augmented reality system for portion estimation
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| contributor author | Stutz, Thomas | |
| contributor author | Dinic, Radomir | |
| contributor author | Domhardt, Michael | |
| contributor author | Ginzinger, Simon | |
| date accessioned | 2020-03-12T21:35:29Z | |
| date available | 2020-03-12T21:35:29Z | |
| date issued | 2014 | |
| identifier other | 6948496.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/1053837?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | [Demo] A mobile augmented reality system for portion estimation | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8184286 | |
| subject keywords | face recognition | |
| subject keywords | n feature extraction | |
| subject keywords | n image classification | |
| subject keywords | n learning (artificial intelligence) | |
| subject keywords | n Adaboost training time reduction | |
| subject keywords | n Harr-like feature robustness property | |
| subject keywords | n classifier | |
| subject keywords | n feature transformation method | |
| subject keywords | n multiview face detection method | |
| subject keywords | n real-time HD images | |
| subject keywords | n rotated face detection | |
| subject keywords | n Detectors | |
| subject keywords | n Face | |
| subject keywords | n Face detection | |
| subject keywords | n Feature extraction | |
| subject keywords | n Robustness | |
| subject keywords | n Training | |
| subject keywords | n Transforms | |
| subject keywords | n Cascade Classifier | |
| subject keywords | n Face Detection | |
| subject keywords | n Feature | |
| identifier doi | 10.1109/ICACT.2014.6779050 | |
| journal title | ixed and Augmented Reality (ISMAR), 2014 IEEE International Symposium on | |
| filesize | 3239213 | |
| citations | 0 |