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CIS 350 Principles and Applications Of Computer Vision

CIS 350 Principles and Applications Of Computer Vision. Dr. Rolf Lakaemper. May I introduce myself…. Rolf Lakaemper PhD (Doctorate Degree) 2000 Hamburg University, Germany Since 1/2003 Assist. Professor at Department of Computer and Information Sciences, Temple University

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CIS 350 Principles and Applications Of Computer Vision

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  1. CIS 350 Principles and Applications Of Computer Vision Dr. Rolf Lakaemper

  2. May I introduce myself… • Rolf Lakaemper • PhD (Doctorate Degree) 2000 • Hamburg University, Germany • Since 1/2003 Assist. Professor at Department of Computer and Information Sciences, Temple University • Main Research Area: Computer Vision

  3. Computer Vision ?

  4. Computer Vision ? “Computer vision’s great trick is extracting descriptions of the world from pictures or sequences of pictures” (Forsyth/Ponce: Computer Vision)

  5. Pictures/Movies: • How to • Represent • Process / Prepare • Handle • Recognize Objects

  6. Representation • Digital Images • Color Spaces • Gray Images • Binary Images • Geometrical Properties

  7. Representation • Digital Images • Color Spaces • Gray Images • Binary Images • Geometrical Properties

  8. How to process / prepare: • Filters • Edges • Geometric Primitives • Lines, Circles

  9. Low Level Object Handling: • Image / Video Compression • Huffman • JPEG • MPEG • …

  10. Low Level Object Handling: • Object representation

  11. Low Level Object Handling: • Segmentation

  12. Object Recognition: • Color, Texture, Shape

  13. Object Recognition: • Applications • Character recognition • Face Recognition • Shape Recognition (Image Databases)

  14. Central Distance Fourier (MATLAB DEMO)

  15. 3D Distance Histogram (MATLAB DEMO)

  16. ISS – An Image-Database using the ASR – Algorithm Dr. Rolf Lakaemper

  17. The Interface (JAVA – Applet)

  18. The Sketchpad: Query by Shape

  19. The First Guess: Different Shape - Classes

  20. Selected shape defines query by shape – class

  21. Result

  22. Specification of different shape in shape – class

  23. Result

  24. Let's go for another shape...

  25. ...first guess...

  26. ...and final result

  27. Query by Shape, Texture and Keyword

  28. Result

  29. CIS 350 Schedule: We: Introduction to topic Fr: LAB Mo: Discussion

  30. CIS 350 Schedule: We: Introduction to topic Fr: LAB Mo: Discussion

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