Keygraphs: structured features for object detection and applications (2017)
- Authors:
- USP affiliated authors: HIRATA JUNIOR, ROBERTO - IME ; CESAR JUNIOR, ROBERTO MARCONDES - IME
- Unidade: IME
- Subjects: VISÃO COMPUTACIONAL; RECONHECIMENTO DE PADRÕES
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Hackensack, NJ
- Publisher place: Singapore
- Date published: 2017
- Source:
- Título: Pattern recognition and big data
-
ABNT
HASHIMOTO, M et al. Keygraphs: structured features for object detection and applications. Pattern recognition and big data. Tradução . Singapore: Hackensack, NJ, 2017. . Disponível em: https://www.worldscientific.com/worldscibooks/10.1142/10153. Acesso em: 01 nov. 2024. -
APA
Hashimoto, M., Morimitsu, H., Hirata Júnior, R., & César Júnior, R. M. (2017). Keygraphs: structured features for object detection and applications. In Pattern recognition and big data. Singapore: Hackensack, NJ. Recuperado de https://www.worldscientific.com/worldscibooks/10.1142/10153 -
NLM
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 nov. 01 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153 -
Vancouver
Hashimoto M, Morimitsu H, Hirata Júnior R, César Júnior RM. Keygraphs: structured features for object detection and applications [Internet]. In: Pattern recognition and big data. Singapore: Hackensack, NJ; 2017. [citado 2024 nov. 01 ] Available from: https://www.worldscientific.com/worldscibooks/10.1142/10153 - A backmapping approach for graph-based object tracking
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