advanced image analysis techniques
Boolean Combination
Category=JMR
communication
computational vision
Coordinate Frames
DTM
Edge Units
eq_bestseller
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
eq_society-politics
facet
Facet Model
False Alarm Rate
filter
Fitting Neighborhood
Fourier Polynomial
Fractal Dimension
Fractal Model
gaussian
Gaussian Filter
gradient
Gradient Magnitude
Image Data
Image Region
Linear Differential Operators
machine
magnitude
man
Man Machine Communication
Misdetection Rate
Noise Standard Deviation
perception modeling
Primitive Perception
property
Property Vector
Range Image
Saddle Point
scene interpretation
Shape Vocabulary
Task Frame
transformation networks
vector
visual input analysis
Visuo Motor Coordination
zero-crossing detection
Product details
- ISBN 9781138966062
- Weight: 453g
- Dimensions: 156 x 234mm
- Publication Date: 19 Oct 2016
- Publisher: Taylor & Francis Ltd
- Publication City/Country: GB
- Product Form: Paperback
Secure
checkout
Fast Shipping
Easy returns
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. In these volumes, computer vision means computer programs analyzing visual input (like a television image of a three-dimensional scene) and deriving from the image some description of the scene that is helpful to further reasoning or action concerning the scene.
Christopher Brown Department of Computer Science, University of
