Volumetric reconstruction applied to perceptual studies of size and weight
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Year
: 2014DOI: 10.1109/MFI.2014.6997687
Keyword(s): Accuracy,Feature extraction,Semantics,Support vector machine classification,Training,Vectors
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Volumetric reconstruction applied to perceptual studies of size and weight
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| contributor author | Balzer, J. , Peters, M. , Soatto, S. | |
| date accessioned | 2020-03-12T19:52:17Z | |
| date available | 2020-03-12T19:52:17Z | |
| date issued | 2014 | |
| identifier other | 6836119.pdf | |
| identifier uri | https://libsearch.um.ac.ir:443/fum/handle/fum/993240?locale-attribute=en | |
| format | general | |
| language | English | |
| publisher | IEEE | |
| title | Volumetric reconstruction applied to perceptual studies of size and weight | |
| type | Conference Paper | |
| contenttype | Metadata Only | |
| identifier padid | 8112442 | |
| subject keywords | Accuracy | |
| subject keywords | Feature extraction | |
| subject keywords | Semantics | |
| subject keywords | Support vector machine classification | |
| subject keywords | Training | |
| subject keywords | Vectors | |
| identifier doi | 10.1109/MFI.2014.6997687 | |
| journal title | pplications of Computer Vision (WACV), 2014 IEEE Winter Conference on | |
| filesize | 1461351 | |
| citations | 0 |