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’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