lec1 - What is Computer Vision? Trucco and Verri (Text):...

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1 CSE152, Spr 2011 Intro Computer Vision Introduction Introduction to Computer Vision CSE 152 Lecture 1 CSE152, Spr 2011 Intro Computer Vision What is Computer Vision? • Trucco and Verri (Text): Computing properties of the 3-D world from one or more digital images • Sockman and Shapiro: To make useful decisions about real physical objects and scenes based on sensed images • Ballard and Brown: The construction of explicit, meaningful description of physical objects from images. • Forsyth and Ponce: Extracting descriptions of the world from pictures or sequences of pictures” CSE152, Spr 2011 Intro Computer Vision Why is this hard? What is in this image? 1. A hand holding a man? 2. A hand holding a mirrored sphere? 3. An Escher drawing? 4. A 1935 self portrait of Escher • Interpretations are ambiguous • The forward problem (graphics) is well-posed • The “inverse problem” (vision) is not CSE152, Spr 2011 Intro Computer Vision We all make mistakes “640K ought to be enough for anybody.” – Bill Gates, 1981 “…” – Marvin Minsky CSE152, Spr 2011 Intro Computer Vision What do you see? CSE152, Spr 2011 Intro Computer Vision What was happening
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2 CSE152, Spr 2011 Intro Computer Vision Should Computer Vision follow from our understanding of Human Vision? Yes & No 1. Who would ever be crazy enough to even try creating machine vision? 2. Human vision “works”, and copying is easier than creating. 3. Secondary benefit – in trying to mimic human vision, we learn about it. 1. Why limit oneself to human vision when there is even greater diversity in biological vision 2. Why limit oneself to biological when there may be greater diversity in sensing mechanism? 3. Biological vision systems evolved to provide functions for “specific” tasks and “specific” environments. These may differ for machine systems 4. Implementation – hardware is different, and synthetic vision systems may use different techniques/methodologies that are more appropriate to computational mechanisms CSE152, Spr 2011 Intro Computer Vision The Near Future: Ubiquitous Vision Digital video has become really cheap. It’s widely embedded in cell phones, cars, games, etc. 99.9% of digitized video isn’t seen by a person. That doesn’t mean that only 0.1% is important! CSE152, Spr 2011 Intro Computer Vision Applications: touching your life Digital photography Google Goggles Video games Football Movies Surveillance HCI – hand gestures Aids to the blind Face recognition & biometrics Road monitoring Industrial inspection Robotic control Autonomous driving Space: planetary exploration, docking Medicine – pathology, surgery, diagnosis Microscopy Military Remote Sensing Virtual Earth; street view Homeland security CSE152, Spr 2011 Intro Computer Vision
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This note was uploaded on 08/05/2011 for the course CSE 152 taught by Professor Staff during the Spring '08 term at UCSD.

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lec1 - What is Computer Vision? Trucco and Verri (Text):...

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