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pro vyhledávání: '"Howard N. Rude"'
Autor:
Howard N. Rude, Mateen M. Rizki
Publikováno v:
SPIE Proceedings.
Gender classification is a critical component of a robust image security system. Many techniques exist to perform gender classification using facial features. In contrast, this paper explores gender classification using body features extracted from c
Autor:
Andrew Freeman, Howard N. Rude, Nathan Koester, Ryan McCoppin, L.A. Tamburino, Mateen M. Rizki, Olga Mendoza-Schrock
Publikováno v:
SPIE Proceedings.
This paper describes the process used to collect the Seasonal Weather And Gender (SWAG) dataset; an electro-optical dataset of human subjects that can be used to develop advanced gender classification algorithms. Several novel features characterize t