"Computer Vision: Teaching Machines to See"
- 2. Computer Vision Computer vision systems analyze images and video automatically and determine what the computer "sees" or "recognizes.” Computer Vision is a field of Artificial Intelligence(AI) that enables the computer and to derive meaningful information from digital images, videos and other visual inputs
- 3. LEVELS OF HUMAN AND COMPUTER VISION SYSTEM Low Level Vision : Edge , Corner, Stereo reconstruction Mid Level Vision : Texture, Segmentation and Grouping , illumination High Level Vision : Tracking - Specific Object recognition , Category level object recognition
- 4. Goal of computer vision etween pixels and • To bridge the ga“meaning” What we see What a computer sees
- 5. Computer Vision : Speaking with Eyes The computer senses your eyes and notices the eye movements. When someone blinks the computer would click something. Looking into the side, or raising eyebrows are some ways to communicate with your eyes in the computer. There’s also the eye gaze detection that detects where you are trying to move to.
- 6. What is it related to? Computer Vision Neuroscience Machine learning Speech Information retrieval Maths Computer Science Biology Information Engineering Physics Robotics
- 7. Applications • Intelligent machines (AI) • Industrial inspection e.g. light bulbs, electronic circuits • Automotive e.g. Ford, GM, DARPA Grand Challenge • Security e.g. facial recognition in airports • Image/video retrieval • Digital cameras are everywhere now….
- 8. Face Detection in Cameras
- 9. BioMetrics Fingerprint scanners on many new laptops, other devices Face recognition systems now beginning to appear more widely
- 10. Handwritten Digit Recognition Digit recognition, AT&T labs Prof. Yann LeCun (NYU) License plate readers
- 11. Mobile visual search: Google Goggles
- 12. Mobile visual search: iPhone Apps
- 13. Automative safety • Mobileye: Vision systems in high-end BMW, GM, Volvo models – “In mid 2010 Mobileye will launch a world's first application of full emergency braking for collision mitigation for pedestrians where vision is the key technology for detecting pedestrians.”
- 14. Vision in supermarkets LaneHawk by Evolution Robotics “A smart camera is flush-mounted in the checkout lane, continuously watching for items. When an item is detected and recognized, the cashier verifies the quantity of items that were found under the basket, and continues to close the transaction. The item can remain under the basket, and with LaneHawk,you are assured to get paid for it… “
- 15. Vision-based interaction (and games) MICROSOFT KINECT
- 16. Vision for robotics, space exploration Vision systems (JPL) used for several tasks • Panorama stitching • 3D terrain modeling • Obstacle detection, position tracking • For more, read “Computer Vision on Mars” by Matthies et al. NASA'S Mars Exploration Rover Spirit captured this westward view from atop a low plateau where Spirit spent the closing months of 2007.
- 18. PROBLEMS Real world scene Sensing device Interpreting device Interpretation A person/ A person with folded arms • Want to make a computer understand images • We know it is possible – we do it effortlessly!
- 20. Facial Expressions Here are pictures of people and their expressions. As you can see, below the faces, the camera can sense where the main features change in the face.
- 21. THANK YOU Shreya Sri K.C 22384120