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Everything about Computer vision

Computerized information extraction from images

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 form of decisions. "Understanding" in this context signifies the transformation of visual images 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. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Computer visionA 5-minute orientation
  2. Skim a recent paper: Attention mechanisms in computer vision: A surveyInfluential work since 2022
  3. Pick up a classic book: Cybernetics, or control and communication in the animal and the machineThe most-reprinted book on the subject
  4. Read the landmark paper: Edge Computing: Vision and ChallengesCited 8,187 times
  5. Go sideways: Machine visionA closely related topic
  6. Go sideways: Outline of computer visionA closely related topic

📖 Definitions

Noun The science and technology of machines that see, concerned with the theory for building artificial systems that obtain information from images, such as a video sequence, views from multiple cameras, or multi-dimensional data from a medical scanner.

🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

Ranked by number of editions on Open Library, a rough measure of how lasting a book is.

🔗 Related topics