Class Notes for Image Processing - Slides | CMSC 426, Study notes of Computer Science

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• What does it mean to see?
• To know what is where by looking (Marr

• To understand from images the objects and

actions in the world.

• Geometry
• Physics
• The nature of objects in the world

(This is the hardest part).

• We use more than 60% of our brain for

visual perception

• Vision is immediate
• What we perceive is a reconstruction within

our brain

• We regard it as reflecting the world

• Many animals have vision (frogs,

insects,birds)

• Active, Purposive Vision: Our Vision is

related to our capabilities and we are

embodied.

“We move therefore we see”

A set of computational techniques that

allow us to estimate geometric and

dynamic properties of the 3D world

from digital images

• E. Trucco and A. Verri, “Introductory Techniques for 3D Computer Vision”, Prentice Hall (strongly recommended)
• BKP Horn, “Robot Vision”,MIT Press
• M. Sonka and V. Hlavac, “Image Processing, Analysis, and Machine Vision”, PWS Publishing
• D. Forsyth and J. Ponce, “Computer Vision
• A Modern Approach”,Prentice Hall

• Image Processing : image-to-image transformations, image enhancement (e.g to interpret radiography of lungs), compression, feature extraction (image operations which extract differential invariants of the image)
• Pattern Recognition : recognizing and classifying objects
• Photogrammetry: obtaining accurate measurements from noncontact imaging, higher accuracy

Finding the Corpus Callosum

(G. Hamarneh, T. McInerney, D. Terzopoulos)

Computer Generated

Photo

Visually guided surgery

http://www.magiceye.com/

http://www.magiceye.com/