Bài giảng Nhập môn thị giác máy tính - Chapter 1: Introduction to Computer Vision - Lê Thanh Hải
Chapter 1 - Introduction
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Chapter 1
Introduction to Computer Vision
James Hays, Brown University
Department of Mechatronics
Chapter 1 - Introduction
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Contents
• Introductions
• What is Computer Vision?
• Why study computer vision?
• Why computer vision matters?
• How vision is used now?
Department of Mechatronics
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Brief history of computer vision
• 1966: Minsky assigns computer vision
as an undergrad summer project
• 1960’s: interpretation of synthetic
worlds
Guzman ‘68
• 1970’s: some progress on interpreting
selected images
• 1980’s: ANNs come and go; shift toward
geometry and increased mathematical
rigor
• 1990’s: face recognition; statistical
analysis in vogue
Ohta Kanade ‘78
• 2000’s: broader recognition; large
annotated datasets available; video
processing starts
• 2030’s: robot uprising?
Turk and Pentland ‘91
Department of Mechatronics
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Computer Vision
• Make computers understand images and video.
What kind of scene?
Where are the cars?
How far is
the building?
Department of Mechatronics
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What is (computer) vision?
Human brain:
~100 ÷ 1.000 trillion synapses
(Artificial) Neural network:
~1 ÷ 10 billion synapses
Human brains have ~10.000 computational power than computer brains
Lex Fridman, MIT
Department of Mechatronics
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Computer Vision and Nearby Fields
• Computer Graphics: Models to Images
• Computer Photography: Images to Images
• Computer Vision: Images to Models
Department of Mechatronics
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Related disciplines
Department of Mechatronics
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What is it related to?
Department of Mechatronics
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The goal of computer vision
• To bridge the gap between pixels and “meaning”.
What we see
What a computer sees
Department of Mechatronics
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Department of Mechatronics
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Segmentation
Department of Mechatronics
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Perception
Department of Mechatronics
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Department of Mechatronics
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Department of Mechatronics
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What kind of information can we
extract from an image?
• Metric 3D information
• Sematic information
Department of Mechatronics
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Guess which bread is real?
Department of Mechatronics
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Left one is real
Department of Mechatronics
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Vision as measurement device
Department of Mechatronics
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Vision as a source of sematic information
Department of Mechatronics
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Why study computer vision?
• Vision is useful: images and video are everywhere.
Department of Mechatronics
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