Computer
vision (CV)
 

Computer Vision development

Computer vision is an integrative field of study, which investigates the way computers are made to recreate properly icons and videos. The sphere also focuses on the automation of tasks, which humans may imitate by their visionary system.

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Principles

Computer vision development requires the methods for getting, handling, analyzing, and imitating programmed sketches, and the removal of facts from reality in order to present symbolical info. Diverse areas of expertise are scene rebuilding, event discovery, video tracking, body identification, 3D positions, studying, indexing, action evaluation, and icon restoration.

Issues

The regular issue of computer vision software development, image restoration or the machine perception is the resolving the photo includes or does not contain many specialized items, characteristics, and motions.

Image Recognition

There are some particular assignments based on the identification:

Data-based picture search (finding all photos which include a special content)

Stand evaluation (evaluating the stand or the area of the body according to the camera)

Optical symbols labeling– (figure out the symbols in illustrations of text)

2D Code Reading

Facial and Form recognition

Movement Examination

Movement examination is the second question in this sphere. There are some tasks of motion investigation, which are meaningful for computer vision engineering:

The determination of 3D action of the device from a picture series made by a camera

The following of the motions

Ocular stream the determination of the point according to the image surface.

Scene and Image reproduction

Scene reproduction focuses on the computing a 3D figure of the scene. In the simple approach, some 3d points are used to recreate a model. In the complicated approach, the methods of 3D figure stitching occur.

Image reproduction aims to remove the noise from prints by using special filters.

Languages

Languages relevant for the computer vision software and application development are:

C++

Scipy

Python

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Computer Vision Development Tools

Types of CV development applications usually contain systems for:

Electronic observation

Identification of schemes

Ruling means

Event discovery

The most common tools are:

3D scanner

Thermographic camera

Radar

Interconnection of the machine with individual

Designing of things and environments

Navigation

Structuring the material

Hyperspectral imager

Smartphones

Platforms

The most common platforms are presented below:

MATLAB

OpenCV

Scikit-image

Where to use

The spheres, where CV plays the crucial part, are

AI

Physics

Neurobiology

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