Advances in Computer Vision

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angle
aperture
Aperture Problem
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computational imaging
Connected Components Algorithm
Deformation Parameters
direction
Displacement Vector
Dynamic Illusions
Epipolar Lines
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flow
Flow Recovery
illuminant
Illuminant Direction
image
Image Coordinates
Image Flow
Image Velocity
Information Fusion
Interpretation Strategies
Intrinsic Images
ISR
Low Level Algorithms
Object Hypothesis
Optical Flow
optical flow analysis
Optical Flow Field
Orthographic Projection
patch
pattern recognition
problem
Retinal Motion
Rigid Body Motion
robust intrinsic image computation
scene reconstruction
stereo vision
surface
Surface Patch
Taylor Coefficients
transform
Transform Angle
visual scene interpretation

Product details

  • ISBN 9780898596489
  • Weight: 620g
  • Dimensions: 152 x 229mm
  • Publication Date: 01 Jan 1988
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Hardback
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First published in 1988. The series Advances in Computer Vision has the goal of presenting current approaches to basic problems that arise in the construction of a computer vision system, written by leading researchers and practitioners in the field. The first two volumes in the series comprise seven chapters, which together cover much of the scope of computer vision. This is Volume I.
Christopher Brown Department of Computer Science, University of Rochester, NY.