Computer Vision
Computer vision is Associate in nursing content scientific field that deals with but computers are formed to attain high-level understanding from digital photos or videos. From the attitude of engineering, it seeks to automatize tasks that the human visual system will do. Computer vision tasks include methods for acquiring, processing, analysing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g., in the forms of decisions. Understanding during this context means that the transformation of visual pictures (the input of the retina) into descriptions of the globe that may interface with different thought processes and elicit applicable action. This image understanding is seen as the disentangling of symbolic info from image information victimization models made with the aid of pure mathematics, physics, statistics, and learning theory.
Related Conference of Computer Vision
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
10th World Congress on Computer Science, Machine Learning and Big Data
10th International Conference and Expo on Computer Graphics & Animation
Computer Vision Conference Speakers
Recommended Sessions
- Robotics
- AI Machine Learning in Health Care & Medical Science
- Artificial Intelligence
- Artificial Intelligence and Advances
- Artificial Intelligence in Block Chain Technology
- Artificial Intelligence in Healthcare, Business & Multimedia Technologies
- Artificial Neural Networks
- Automation
- Big Data Algorithms
- Big Data Analysis
- Cloud Computing
- Computer Vision
- Computer vision and perception
- Cyber Defence
- Cyber Security
- Data Mining
- Data mining with big data
- Data Science
- Decision Management
- Deep Learning
- Evolutionary Computation
- Fleet Management in AI
- Hadoop map reducing for analysing Information
- How Robot changes our life-Robotics in Industry
- Humanoid Robots
- Image Processing
- Information fusion
- Internet of Things
- Machine Learning
- Machine learning
- Machine learning and computing
- Machines and Minds
- Mechatronics & Nonlinear Control Systems (NOLCOS)
- Natural Language Processing (NIP)
- Neural System
- Neural systems
- Perception
- Robotic Process Automation (RPA)
- Robots in Security and Surveillance
- Speech Recognition
- Virtual Intelligence