4. WHAT IS COMPUTER VISION?
• Computer vision is a field that includes methods for acquiring,
processing, analyzing, and understanding images
• Known as Image analysis, Scene Analysis, Image Understanding
• duplicate the abilities of human vision by electronically perceiving and
understanding an image
• Theory for building artificial systems that obtain information from images.
• Image data can take many forms, such as a video sequence, depth
images, views from multiple cameras, medical scanner, satellite sensors
etc.
6. COMPUTER VISION VS HUMAN VISION…
• Vision is an amazing feat of natural intelligence
• More human brain devoted to vision than anything else
• There are about 30,000 visual categories.
• Learn 4.5 categories per day 18 years
• At age 6, child can learn roughly all 30,000 (13.5day)
• Machines Can't Replicate Human Image Recognition, Yet. they
do not possess our ability to recognize distorted images
7. WHY IS COMPUTER VISION DIFFICULT?
• It is a many-to-one mapping
• It is computationally intensive
• We do not understand the recognition problem
11. MATHEMATICS IN COMPUTER VISION
• Calculus
• Linear Algebra
• Probabilities and Statistics
• Signal Processing
• Projective Geometry
• Computational Geometry
• Optimization Theory
• Control Theory
12. COMPUTER VISION APPLICATIONS
• Controlling processes
• Navigation
• Detecting events
• Organizing information
• Modeling objects or environments
• Interaction
• Automatic inspection, e.g. in manufacturing applications
• much more …...