Introduction to Computer Vision Ronen Basri, Michal Irani, Shimon Ullman Teaching Assistants Tal Amir, Sima Sabah, Netalee Efrat, Nati Ofir, Yuval Bahat,

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Presentation transcript:

Introduction to Computer Vision Ronen Basri, Michal Irani, Shimon Ullman Teaching Assistants Tal Amir, Sima Sabah, Netalee Efrat, Nati Ofir, Yuval Bahat, Itay Kezurer.

Misc...  Course website – look under:  To be added to course mailing-list: Send to one of the TAs:,, …  Vision & Robotics Seminar (not for credit): Thursdays at 12:00-13:00 (Ziskind 1) Send to Amir Gonen:  Hands-on course in deep neural networks for vision: Wednesday at 15:00-17:00 (Ziskind 1) First Lecture:this week (4/11) (Limited number of students)

Applications: - Robot navigation - Autonomous vehicles - Guiding tools for blind - Security and monitoring - Object/face recognition; OCR. - Medical Applications - Visualization; NVS - Manufacturing and inspection; QA - 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)

Digital Image Pixels: 0 = Black 255 = White

Human Vision (1 lesson) Fourier and Applications (2 lessons) Topics covered Motion & video analysis (3 lessons) Object Recognition (2 lessons)  2-3 programming exercises (MATLAB) -- CAN SUBMIT IN PAIRS  2-3 theoretical exercises -- MUST SUBMIT INDIVIDUALLY  EXAM Geometry, Stereo, 3D Structure (4 lessons) Lighting (1 lesson)

Panoramic Mosaic Image Original video clip Generated Mosaic image 1.Optical Flow 2.Image Alignment 3.Sequence Alignment

Original Outliers Original Synthesized Video Removal

Photometric Stereo