Opening book details…
Can I read Practical OpenCV (Technology in Action) on EtoBox?
Practical OpenCV (Technology in Action) by Brahmbhatt, Samarth is a computer science book available to read on EtoBox.
What is Practical OpenCV (Technology in Action) about?
Practical OpenCV is a hands-on project book that shows you how to get the best results from OpenCV, the open-source computer vision library. Computer vision is key to technologies like object recognition, shape detection, and depth estimation. OpenCV is an open-source library with over 2500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and overlay augmented reality. It's used by major companies like Google (in its autonomous car), Intel, and
Who reads Practical OpenCV (Technology in Action)?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Brahmbhatt, Samarth
- Publisher
- Apress : Imprint : Apress
- Published
- 2013
- Language
- EN
- ISBN
- 9781430260790
- Category
- computer science
- Subjects
- Engineering, Mathematics, Programming
- Updated
- 2026-03-25
Other editions & translations
More by Brahmbhatt, Samarth
Browse all works by Brahmbhatt, Samarth
Similar books
- Learn OpenCV 4 by Building Projects — Prateek Joshi; Vinicius G. Mendonca; David Millan Escriva (2018)
- Instant OpenCV Starter : Get Started with OpenCV Using Practical, Hands-on Projects — Sohil Patel Jayneil Dalal (2013)
- Learning OpenCV : Computer Vision with the OpenCV Library — Gary R Bradski; Adrian Kaehler (2008)
- OpenCV 3 Blueprints : Expand Your Knowledge of Computer Vision by Building Amazing Projects with OpenCV 3 — Joseph Howse, Steven Puttemans, Quan Hua, Utkarsh Sinha (2015)
- OpenCV By Example : Enhance Your Understanding of Computer Vision and Image Processing by Developing Real-world Projects in OpenCV 3 — Prateek Joshi, David Millan Escriva, Vinicius Godoy (2016)
- Mastering OpenCV 4 with Python : A Practical Guide Covering Topics From Image Processing, Augmented Reality to Deep Learning with OpenCV 4 and Python 3.7 — Alberto Fernández Villán (2019)