Anthropometric Ratios for Lower-Body Detection Based on Deep Learning and Traditional Methods

  1. Jaruenpunyasak, J.
  2. de Herrera, A.G.S.
  3. Duangsoithong, R.
Zeitschrift:
Applied Sciences (Switzerland)

ISSN: 2076-3417

Datum der Publikation: 2022

Ausgabe: 12

Nummer: 5

Art: Artikel

DOI: 10.3390/APP12052678 GOOGLE SCHOLAR lock_openOpen Access editor HANDLE: https://hdl.handle.net/20.500.14468/26374
e-spacio. Repositorio Institucional de la UNED: lock_openOpen Access Handle
Datenquelle: Scopus