Advances in Computer Vision - Vol. 2

By Christopher Brown | Go to book overview
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SUBJECT INDEX
A
Abstraction levels, 89-90
Adjacency, region, 16-20
Apparent motion, 81
Architectures,
implementation, 99-101
parallel hierarchical, 89-90, 94-96
Areal structures, 39-40
B
Best-fit,
descriptions, 143-148
functional, 146-148
Biological shape representation, 132-134
Boolean operations on shapes, 129-130
Branching structures, 173
Brownian fractal surface, 138, 157-158
Bump filtering, 167-168
C
CAD-CAM object models, 125-126
Catastrophe theory, 64
Channels, spatial frequency, 48
Classification of surfaces, see Surface classification
Cognition,
and perceptual models, 166-167
and shape primitives, 171
Commonsense reasoning, 134, 139
Communication,
of shape information, 166-169
man-machine, for shapes, 169, 173
Compactness, 52
Complete image representation, 73
Complex natural shape representation, 134-139
Conditions for solution of matrix equation, 74
Conjunctive connection, 91
Connectionism, 89-99
Connectionist,
experiment, 111-115
implementation, 99-101, 111-116
matching, 108-109
representation, 103-108
unit, 90-94
unit recruitment, 111
Connections,
feedforward and feedback, 102
rule, 99
weights, 92-93, 99
Constraint,
in connectionist implementation, 99- 101
satisfaction, 93
matching, 109
on image from zero crossing contours, 66-68

-180-

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