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Introduction to Computer Vision Course Overview and Applications

This course, taught by Ronen Basri, Michal Irani, and Shimon Ullman, offers an in-depth exploration of the fundamentals of computer vision. It covers topics such as image formation, human vision, Fourier applications, geometry, motion analysis, and object recognition. The course also emphasizes practical applications in areas like autonomous vehicles, medical imaging, and security. Sessions include theoretical and programming exercises (MATLAB), weekly seminars, and encourage collaboration. For more info, visit the course website or join the mailing list.

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Introduction to Computer Vision Course Overview and Applications

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  1. Introduction to Computer Vision Ronen Basri, Michal Irani, Shimon Ullman Primary Teaching Assistants Alon Faktor Ofer Bartal

  2. Misc... • Course website – look under: http://www.wisdom.weizmann.ac.il/~vision/courses/2011_2/index.html • To be added to course mailing-list: • http://www.weizmann.ac.il/mailman/listinfo/vision_course_12 • Primary Teaching Assistants: AlonFaktor or OferBartal: <alon.faktor@weizmann.ac.il> <ofer.bartal@weizmann.ac.il> • Vision & Robotics Seminar (not for credit): Thursdays at 12:00-13:00 (Ziskind 1) Send email to Amir Gonen: <amir.gonen@weizmann.ac.il>

  3. Applications: - Manufacturing and inspection; QA - Robot navigation - Autonomous vehicles - Guiding tools for blind - Security and monitoring - Object/face recognition; OCR. - Medical Applications - Visualization; NVS - Visual communication - Digital libraries and video search - Video manipulation and editing • How is an image formed? (geometry and photometry) • How is an image represented? • What kind of operations can we apply to images? • What do images tell us about the world? (analysis & interpretation)

  4. Tentative Schedule Lessons 1 Image formation Lesson 2 Human Vision Lessons 3-4 Fourier and Applications Lesson 5-7 Geometry, Stereo, 3D Structure Lessons 8-9 Motion and video analysis Lesson 10 Lighting / Photometry Lesson 11-12 Object Recognition Faculty Trip…? • 2-3 programming exercises (MATLAB) -- CAN SUBMIT IN PAIRS • 2-3 theoretical exercises -- MUST SUBMIT INDIVIDUALLY • EXAM

  5. Generated Mosaic image Panoramic Mosaic Image Original video clip

  6. Video Removal Original Original Outliers Synthesized

  7. Photometric Stereo

  8. Photometric Stereo

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