Baggio / Emami / Ievgen Mastering OpenCV 3

Get hands-on with practical Computer Vision using OpenCV 3
2. Auflage 2025
ISBN: 978-1-78646-656-3
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 250 Seiten

No detailed description available for "Mastering OpenCV 3".

Autoren/Hrsg.

Baggio, Daniel Lelis

Emami, Shervin

Ievgen, Khvedchenia

Saragih, Jason

Shi, Roy

Fachgebiete

• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Über Autor(innen)

Saragih Jason :

Jason Saragih received his BEng degree in mechatronics (with honors) and PhD in computer science from the Australian National University, Canberra, Australia, in 2004 and 2008, respectively. From 2008 to 2010, he was a Postdoctoral fellow at the Robotics Institute of Carnegie Mellon University, Pittsburgh, PA. From 2010 to 2012 he worked at the Commonwealth Scientific and Industrial Research Organization (CSIRO) as a Research Scientist. He is currently a Senior Research Scientist at Visual Features, an Australian tech start-up company. Dr. Saragih has made a number of contributions to the field of computer vision, specifically on the topic of deformable model registration and modeling. He is the author of two non-profit open source libraries that are widely used in the scientific community; DeMoLib and FaceTracker, both of which make use of generic computer vision libraries including OpenCV.