Shilkrot / Millán Escrivá | Mastering OpenCV 4 | E-Book | sack.de
E-Book

E-Book, Englisch, 280 Seiten

Shilkrot / Millán Escrivá Mastering OpenCV 4

A comprehensive guide to building computer vision and image processing applications with C++
3. Auflage 2018
ISBN: 978-1-78953-926-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

A comprehensive guide to building computer vision and image processing applications with C++

E-Book, Englisch, 280 Seiten

ISBN: 978-1-78953-926-4
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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Weitere Infos & Material


Table of Contents - Cartoonifier and Skin Color Analysis on the RaspberryPi
- Exploring Structure from Motion with the SfM Module
- Face Landmark and Pose Estimation with the Face Module
- Number Plate Recognition with Deep Convolutional Networks
- Face Recognition with the DNN Module
- Introduction to Web Computer Vision with OpenCv.js
- Android Camera Calibration and AR using the ARUco Module
- iOS Image Stitching with the Stitching Module
- Finding the Best OpenCV Algorithm for the Job
- Avoiding Common Pitfalls in OpenCV


Shilkrot Roy:

Roy Shilkrot is an assistant professor of computer science at Stony Brook University, where he leads the Human Interaction group. Dr. Shilkrot's research is in computer vision, human-computer interfaces, and the cross-over between these two domains, funded by US federal, New York State, and industry grants. Dr. Shilkrot graduated from the Massachusetts Institute of Technology (MIT) with a PhD, and has authored more than 25 peer-reviewed papers published at premier computer science conferences, such as CHI and SIGGRAPH, as well as in leading academic journals such as ACM Transaction on Graphics (TOG) and ACM Transactions on Computer-Human Interaction (ToCHI). Millán Escrivá David:

David Millán Escrivá was 8 years old when he wrote his first program on an 8086 PC in Basic, which enabled the 2D plotting of basic equations. In 2005, he finished his studies in IT with honors, through the Universitat Politécnica de Valencia, in human-computer interaction supported by computer vision with OpenCV (v0.96). He has worked with Blender, an open source, 3D software project, and on its first commercial movie, Plumiferos, as a computer graphics software developer. David has more than 10 years' experience in IT, with experience in computer vision, computer graphics, pattern recognition, and machine learning, working on different projects, and at different start-ups, and companies. He currently works as a researcher in computer vision.



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