- Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos.
- From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do.
- Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images.
- The advancement of Deep Learning techniques has brought further life to the field of computer vision.
- The accuracy of deep learning algorithms on several benchmark computer vision data sets for tasks ranging from classification, segmentation and optical flow has surpassed prior methods.
Computer Vision – Sub Domains
Sub-domains of computer vision are,
- Scene Reconstruction
- Object Detection
- Event Detection
- Video Tracking
- Object Recognition
- 3d Pose Estimation
- Motion Estimation
- Visual Serving
- 3d Scene Modeling and
- Image Restoration.
Computer Vision Company – Market Size
According to Markets and Markets, the computer vision market is expected to grow from USD 10.9 billion in 2019 to USD 17.4 billion by 2024-growing at a CAGR of 7.8% during the forecast period
Computer Vision – Top 5 Tools
- OpenCV is an open-source computer vision and machine learning software library, and it makes it easy for businesses to utilize and modify the code.
- The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms.
- It is written natively in C++ and has a templated interface that works seamlessly with STL containers.
- TensorFlow is an end-to-end open-source platform for machine learning.
- It has a comprehensive, flexible ecosystem of tools, libraries and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
- TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs.
- MATLAB is a programming and numeric computing platform used by millions of engineers and scientists to analyse data, develop algorithms, and create models.
- It includes the Live Editor for creating scripts that combine code, output, and formatted text in an executable notebook.
- It performs large-scale computations and parallelizes simulations using multicore desktops, GPUs, clusters, and clouds.
- Keras is an API designed for human beings, not machines and it follows best practices for reducing cognitive load.
- It offers consistent & simple APIs, it minimizes the number of user actions required for common use cases, and it provides clear & actionable error messages.
- It is an industry-strength framework that can scale to large clusters of GPUs or an entire TPU pod. It is not only possible; it is easy.
- SimpleCV is an open-source framework for building computer vision applications.
- It provides access to several high-powered computer vision libraries such as OpenCV – without having to first learn about bit depths, file formats, colour spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy.