Primjeri korištenja Computer vision na Engleski i njihovi prijevodi na Hrvatskom
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But the computer vision part.
The algorithm is based on machine learning and computer vision.
Eye pain: computer vision syndrome.
Also, some of the learning-based methods developed within computer vision e.g.
What causes computer vision syndrome?
Computer vision for smart cars and safer roads.
Yet another field related to computer vision is signal processing.
Computer vision includes 3D analysis from 2D images.
Solid-state physics is another field that is closely related to computer vision.
Symptoms of computer vision syndrome include:?
OCR is a field of research in pattern recognition,artificial intelligence and computer vision.
The organization of a computer vision system is highly application dependent.
There are, however,typical functions which are found in many computer vision systems.
Run and visualize different computer vision algorithms with the OpenCV library.
Improper posture during computer work also contributes to computer vision syndrome.
Course Description The goal of a computer vision system is to create a model of the real world from images.
Explain and distinguish porocedures, methods andalgorithms related to image processing and computer vision.
A computer vision system recovers useful information about a scene from its two-dimensional projections.
One of the most prominent application fields is medical computer vision or medical image processing.
Computer vision covers the core technology of automated image analysis which is used in many fields.
Course description: The goal of a computer vision system is to create a model of the real world from images.
Computer vision- Algorithms for identifying three-dimensional objects from a two-dimensional picture.
Information about the environment could be provided by a computer vision system, acting as a vision sensor and providing high-level information about the environment and the robot.
Consequently, computer vision is sometimes seen as a part of the artificial intelligence field or the computer science field in general.
Deep learning methods have been successfully applied in many important artificial intelligence fields such as computer vision, natural language processing, speech and audio understanding as well as in bioinformatics.
As a scientific discipline, computer vision is concerned with the theory behind artificial systems that extract information from images.
Most computer vision systems rely on image sensors, which detect electromagnetic radiation, which is typically in the form of either visible or infra-red light.
Artificial intelligence and computer vision share other topics such as pattern recognition and learning techniques.
As a technological discipline, computer vision seeks to apply its theories and models for the construction of computer vision systems.
Beside the above-mentioned views on computer vision, many of the related research topics can also be studied from a purely mathematical point of view.