University of Oulu

Viola-Jones-algoritmia hyödyntävän lisätyn todellisuuden sovelluksen suorituskyvyn optimointi

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Author: Ainali, Antti1; Kangastie, Adam1
Organizations: 1University of Oulu, Faculty of Information Technology and Electrical Engineering, Department of Computer Science and Engineering, Computer Science
Format: ebook
Version: published version
Access: restricted
  Theses with restricted access are only available for reading on the e-thesis workstations.
Pages: 40
Persistent link: http://urn.fi/URN:NBN:fi:oulu-202002131139
Language: Finnish
Published: Oulu : A. Ainali; A. Kangastie, 2020
Publish Date: 2020-02-13
Thesis type: Bachelor's thesis
Subjects:
Copyright information: © Antti Ainali; Adam Kangastie, 2020. This publication is copyrighted. You may download, display and print it for your own personal use. Commercial use is prohibited.