Live briefing
Everything about OpenCV
Computer vision library
OpenCV is a library of programming functions mainly for real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage, then Itseez. The library is cross-platform and licensed as free and open-source software under Apache License 2. Starting in 2011, OpenCV features GPU acceleration for real-time operations. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: OpenCVA 5-minute orientation
- Skim a recent paper: An Intelligent Motion Detection Using OpenCVInfluential work since 2022
- Pick up a classic book: Learning OpenCVThe most-reprinted book on the subject
- Read the landmark paper: Real-time computer vision with OpenCVCited 328 times
- Go sideways: Gary BradskiA closely related topic
- Go sideways: OneAPI (compute acceleration)A closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Real-time computer vision with OpenCV
Learning OpenCV---Computer Vision with the OpenCV Library (Bradski, G.R. et al.; 2008)[On the Shelf]
RETRACTED ARTICLE: Video analytics for semantic substance extraction using OpenCV in python
Real Time Automatic Attendance System for Face Recognition Using Face API and OpenCV
Image Edge Detection Based On Opencv
Application of attitude tracking algorithm for face recognition based on OpenCV in the intelligent door lock
IJ-OpenCV: Combining ImageJ and OpenCV for processing images in biomedicine
Realtime Computer Vision with OpenCV
🆕 Influential since 2022
An Intelligent Motion Detection Using OpenCV
Real-Time Workout Posture Correction using OpenCV and MediaPipe
Design and implementation of real-time object detection system based on single-shoot detector and OpenCV
Uncovering the optimal structural characteristics of flocs for microalgae flotation using Python-OpenCV
Quantification of Alpha Lath in Ti-6Al-4V using OpenCV
📚 Books worth reading
Learning OpenCVGary Bradski, Adrian Kaehler · 2008
Mastering OpenCV with Practical Computer Vision ProjectsDaniel Lélis Baggio, Shervin Emami · 2012
Hands-On Vision and Behavior for Self-Driving CarsLuca Venturi, Krishtof Korda · 2020
Learning OpenCV 3Adrian Kaehler, Gary Bradski · 2017
OpenCV 2 computer vision application programming cookbookRobert Laganière · 2011
Practical OpenCV (Technology in Action)Samarth Brahmbhatt · 2013
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
- Gary Bradski Gary Bradski is an American scientist, engineer, entrepreneur, and author. He co-founded Industrial Perception, a company that developed perception applications…
- OneAPI (compute acceleration) oneAPI is an open standard, adopted by Intel, for a unified application programming interface (API) intended to be used across different computing accelerator…
- CUDA CUDA (Compute Unified Device Architecture) is a proprietary parallel computing platform and application programming interface (API) developed by Nvidia…
- ROCm ROCm is an Advanced Micro Devices (AMD) software stack for graphics processing unit (GPU) programming. ROCm spans several domains, including general-purpose…
- Comparison of deep learning software The following tables compare notable software frameworks, libraries, and computer programs for deep learning applications. Licenses here are a summary…
- Neural processing unit A neural processing unit (NPU), also known as an AI accelerator or deep learning processor, is a class of specialized hardware accelerator or computer…
- Mlpack mlpack is a free, open-source and header-only software library for machine learning and artificial intelligence written in C++, built on top of the Armadillo…
- GPUOpen GPUOpen is a middleware software suite originally developed by AMD's Radeon Technologies Group that offers advanced visual effects for computer games.…