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Exploring Computer Vision: Applications, Techniques, and Image Analysis

Computer vision is a field of artificial intelligence that enables computers to interpret and process visual information from the world. It encompasses the analysis of digital images obtained from various sources, such as medical imaging, robotics, and aerial surveillance. Applications include CT imaging of organs, 3D reconstruction of anatomical structures, and event recognition in video footage. Key tasks involve image retrieval, face detection, and object recognition, highlighting computer vision's impact on numerous domains, from healthcare to entertainment.

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Exploring Computer Vision: Applications, Techniques, and Image Analysis

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Presentation Transcript

  1. Introduction • What IS computer vision? • Where do images come from? the analysis of digital images by a computer

  2. Applications: Medical Imaging CT image of a patient’s abdomen liver kidney kidney

  3. Visible Man Slice Through Lung

  4. 3D Reconstruction of the Blood Vessel Tree

  5. Slice of a Chicken Embryo’s Inner Ear

  6. CBIR of Mouse Eye Images for Genetic Studies

  7. Robotics • 2D Gray-tone or Color Images • 3D Range Images “Mars” rover What am I?

  8. Robot Soccer

  9. Image Databases: Images from my Ground-Truth collection: http://www.cs.washington.edu/research/imagedatabase/groundtruth • retrieve images containing trees

  10. Some Features for Image Retrieval

  11. Documents:

  12. Science Calineuria (Cal) Doroneuria (Dor) Yor (Yor) Classification Results:

  13. Surveillance: Event Recognition in Aerial Videos Original Video Frame Color Regions Structure Regions

  14. Face Detection (and Recognition)

  15. Graphics: Special Effects Andy Serkis, Gollum, Lord of the Rings

  16. 3D Reconstruction and Graphics Viewer

  17. Object Recognition from “Parts”

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