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EE 596 Machine Vision Autumn 2015

Learn about computer vision, image analysis, and robotics applications, from medical imaging to Mars rovers. Explore image databases, document classification, surveillance, and graphics effects. Understand digital image terminology and the three stages of computer vision. Dive into low-level, mid-level, and high-level image analysis, from sharpening to building recognition.

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EE 596 Machine Vision Autumn 2015

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  1. EE 596Machine VisionAutumn 2015 Professor Linda Shapiro shapiro@cs.washington.edu TA: Yao Lu luyao@uw.edu

  2. Introduction • What IS computer vision? • Where do images come from? The analysis of digital images by a computer You tell me!

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

  4. Visible Man Slice Through Lung

  5. 3D Reconstruction of the Blood Vessel Tree

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

  7. Robot Soccer

  8. Google Driverless Car

  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) Previous Classification Results: UW and Oregon State University

  13. Soil Mesofauna XenillusA TraychetesA ZyqoribafulaA AchipteriaA BdellozoniumI CatoposurusA EniochthoniusA BelbaA BelbaI PtenothrixV PtiliidA HypochthoniusLA EpilohmanniaT EpilohmanniaD EpilohmanniaA EntomobrgaTM EpidamaeusA QuadroppiaA HypogastruraA MetrioppiaA LiacarusRA IsotomaVI NothrusF IsotomaA onychiurusA PlatynothrusF TomocerusA OppiellaA SiroVI PhthiracarusA PlatynothrusI PeltenuialaA

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

  15. 2D Face Detection

  16. Face Recognition Glasgow University

  17. 2D Object Recognition from “Parts” Oxford University

  18. Object Recognition from “Parts” Oxford University

  19. Action Recognition Using an egocentric and multiple static cameras

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

  21. 3D Reconstruction and Graphics Viewer

  22. 3D Craniofacial Shape Analysis from Meshes of Children’s Heads

  23. Digital Breast Biopsy ImageShowing Regions of Interest

  24. Digital Image Terminology: 0 0 0 0 1 0 0 0 0 1 1 1 0 0 0 1 95 96 94 93 92 0 0 92 93 93 92 92 0 0 93 93 94 92 93 0 1 92 93 93 93 93 0 0 94 95 95 96 95 pixel (with value 94) its 3x3 neighborhood region of medium intensity resolution (7x7) • binary image • gray-scale (or gray-tone) image • color image • multi-spectral image • range image • labeled image

  25. The Three Stages of Computer Vision • low-level • mid-level • high-level image image image features features analysis

  26. Low-Level sharpening blurring

  27. Low-Level Canny original image edge image Mid-Level ORT data structure circular arcs and line segments edge image

  28. Mid-level K-means clustering (followed by connected component analysis) regions of homogeneous color original color image data structure

  29. Low- to High-Level low-level edge image mid-level consistent line clusters high-level BuildingRecognition

  30. We will study • binary machine vision • some gray scale operators • color, texture • region segmentation • appearance-based recognition • interest operators • content-based image retrieval • 2D object (shape) recognition • motion (video) analysis • 3D reconstruction • 3D shape analysis

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