Sem 2 Presentation

1. COMPUTER VISION Processing machines that see

2. Introduction The theory for building artificial systems that obtain information from Images. The construction of vision for computer systems by image analysis . Computer Vision = Camera + Computer + ? Recognition

4. Detecting Events -> for visual surveillance or people counting

5. Organizing Information -> for indexing databases of images

6. Modeling objects -> medial image analysis

8. Object Recognition

9. Motion Recognition

10. Optical Character Recognition

11. Face Recognition

13. How it works ? Object Recognised

14. How it works ? Center of Object Recognised

15. How it works ? Shape Recognised

16. OpenCV Open Source Computer Vision Library Launched by Intel Focused on Real-Time Image Processing Works with most of programming languages.

17. Important App’ Areas Industrial image processing process control, quality control, geometrical measurements Robotics assembly, navigation, cooperation, autonomous systems Monitoring event recognition, safety systems, data collection, smart homes Document analysis handwritten character recognition, layout recognition, graphics recognition Medical image analysis image enhancement, image registration, surgicalsupport Image retrieval image databases, multimodal information systems, web information retrieval Virtual reality image generation, model construction

18. Practice Based on CVP Computer Vision Processing on a video sequence Working on JMF (Java Media Framework) Communication between Technologies

19. Real Time Shapes Detection Practice

20. RGB Color Picker Practice

21. Practice Continues..

22. Lets Hit The BLOG ! Theory Arduino + PHP Processing updates http://www.paraskalra.com/research