![]() "Computer vision is concerned with the automatic extraction, analysis and understanding of useful information from a single image or a sequence of images. From the perspective of engineering, it seeks to automate tasks that the human visual system can do. There are very few companies that provide a unified and distributed platform or an Operating System where computer vision applications can be easily deployed and managed.Ĭomputer vision is an interdisciplinary field that deals with how computers can be made to gain high-level understanding from digital images or videos. Sub-domains of computer vision include scene reconstruction, object detection, event detection, video tracking, object recognition, 3D pose estimation, learning, indexing, motion estimation, visual servoing, 3D scene modeling, and image restoration.Īdopting computer vision technology might be painstaking for organizations as there is no single point solution for it. 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, 3D point clouds from LiDaR sensors, 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 to the retina in the human analog) into descriptions of the world that make sense to thought processes and can elicit appropriate action. See also the full list of Psych/Cog/Neuro subreddits.Computerized information extraction from imagesĬomputer 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. Some other subreddits you might be interested in: No bullying, brigading, doxxing, illegal content, etc. If your post is not related to the brain, this is not the community for your post. If you're posting a link to a news article coverage of a paper, you must submit a comment with a direct link to the paper if the article you post doesn't have one. This rule doesn't apply to questions or speculative discussion that is properly caveated or very basic neuroscience facts. Posts that assert a positive claim about the brain must include peer-reviewed or pre-print support for that claim. /r/Medical ( Questions about medical practices & procedures)./r/AskDocs ( General Health Issues & Questions).If you are in need of medical advice, go see a doctor or visit other subreddits that allow medical questions: but any post containing personal or health information may be removed at moderator discretion. This especially includes medical advice, clarification, diagnosis, and discussion of symptoms, drugs/supplements, medical procedures, etc. For more academic discussions of journal articles, /r/neuroscience is a great place. We're a bit laid back here, you're free to post anything about neuroscience as long as it doesn't break the rules. r/neuro, involving neuroscience: Discussion and news pertaining to neurobiology, cognitive studies, clinical neuroscience, the laboratory, and anything else related.
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