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Using Dihedral Angles for Edge Extraction in Range Data
S Suganthan,
SA Coleman
,
BW Scotney
School of Computing, Eng & Intel. Sys
Faculty Of Computing, Eng. & Built Env.
School of Computing
Research output
:
Contribution to journal
›
Article
›
peer-review
2
Citations (Scopus)
Overview
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Engineering & Materials Science
Dihedral angle
88%
Spatial distribution
63%
Edge detection
60%
Object recognition
59%
Feature extraction
44%
Navigation
43%
Robots
36%
Costs
21%
Mathematics
Range Image
100%
Dihedral angle
81%
Range of data
35%
Robot Navigation
24%
Object Recognition
21%
Feature Extraction
21%
Edge Detection
20%
Interpretation
20%
Spatial Distribution
18%
Vision
14%
Computational Cost
14%
Irregular
13%
Physics & Astronomy
dihedral angle
74%
edge detection
19%
navigation
17%
robots
17%
pattern recognition
17%
spatial distribution
12%
costs
10%