Computer vision


Topic | v1 | created by jjones |
Description

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 tasks include methods for acquiring, processing, analyzing 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 in this context means the transformation of visual images (the input of the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.


Relations

subtopic of Computer science

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subtopic of Deep learning

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parent of Automatic food clasiffication

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parent of Biometrics

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used by Data science

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Resources

relates to Im2Calories: Towards an Automated Mobile Vision Food Diary

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We present a system which can recognize the contents of your meal from a single image, and then pred...

treated in Bringing Old Photos Back to Life

We propose to restore old photos that suffer from severe degradation through a deep learning approach...

treated in Enhancing your photos through artificial intelligence

Microsoft researchers introduce two new techniques that use AI to improve photos, both new and old. L...

treated in Bringing Old Photos Back to Life

Bringing Old Photos Back to Life