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Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
Theory & Practice Exploration
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Theory & Practice Exploration

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Sem 2 Presentation

Sem 2 Presentation

Published in: Education
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Transcript

  • 1. COMPUTER VISION Processing<br />machines that see<br />
  • 2. Introduction<br />The theory for building artificial systems that obtain information from Images.<br />The construction of vision for computer systems by image analysis .<br />Computer Vision = Camera + Computer + ?<br />Recognition<br />
  • 3. Introduction<br /><ul><li>Controlling processes -> An industrial robot vehicle
  • 4. Detecting Events -> for visual surveillance or people counting
  • 5. Organizing Information -> for indexing databases of images
  • 6. Modeling objects -> medial image analysis
  • 7. Interaction -> input to a device for computer-human interaction</li></li></ul><li>Recognition<br /><ul><li>Pattern Recognition
  • 8. Object Recognition
  • 9. Motion Recognition
  • 10. Optical Character Recognition
  • 11. Face Recognition
  • 12. State (Event) Recognition</li></li></ul><li>How it works ?<br />
  • 13. How it works ?<br />Object Recognised<br />
  • 14. How it works ?<br />Center of Object Recognised<br />
  • 15. How it works ?<br />Shape Recognised<br />
  • 16. OpenCV<br />Open Source Computer Vision Library<br />Launched by Intel<br />Focused on Real-Time Image Processing<br />Works with most of programming languages.<br />
  • 17. Important App’ Areas<br />Industrial image processing<br /> process control, quality control, geometrical measurements<br />Robotics<br /> assembly, navigation, cooperation, autonomous systems<br />Monitoring<br /> event recognition, safety systems, data collection, smart homes<br />Document analysis<br /> handwritten character recognition, layout recognition, graphics recognition<br />Medical image analysis<br /> image enhancement, image registration, surgicalsupport<br />Image retrieval<br /> image databases, multimodal information systems, web information retrieval<br />Virtual reality<br /> image generation, model construction<br />
  • 18. Practice Based on CVP<br />Computer Vision Processing on a video sequence<br />Working on JMF (Java Media Framework)<br />Communication between Technologies<br />
  • 19. Real Time Shapes Detection<br />Practice<br />
  • 20. RGB Color Picker<br />Practice<br />
  • 21. Practice Continues..<br />
  • 22. Lets Hit The BLOG !<br />Theory<br />Arduino + PHP<br />Processing updates<br />http://www.paraskalra.com/research <br />

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