![]() The technological discipline of computer vision seeks to apply its theories and models to the construction of computer vision systems. The image data can take many forms, such as video sequences, views from multiple cameras, multi-dimensional data from a 3D scanner, or medical scanning devices. The scientific discipline of computer vision is concerned with the theory behind artificial systems that extract information from images. ![]() 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. 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. ![]() Ĭomputer 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. ![]() From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Output of DenseCap "dense captioning" software, analyzing a photograph of a man riding an elephantĬomputer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. ![]()
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