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Distance transform
Known as:
Euclidean distance map
, Euclidian distance map
, Euclidean
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A distance transform, also known as distance map or distance field, is a derived representation of a digital image. The choice of the term depends on…
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Related topics
Related topics
18 relations
Binary image
Digital image
Digital image processing
Euclidean distance
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Broader (2)
Digital geometry
Image processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2017
Highly Cited
2017
Mountain Railway Alignment Optimization with Bidirectional Distance Transform and Genetic Algorithm
Wei Li
,
Hao Pu
,
+4 authors
Jiaxing Xiong
Comput. Aided Civ. Infrastructure Eng.
2017
Corpus ID: 19841646
Various challenging constraints must be satisfied in railway alignment design for topographically complex mountainous regions…
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Highly Cited
2017
Highly Cited
2017
RGB-D Salient Object Detection via Minimum Barrier Distance Transform and Saliency Fusion
Anzhi Wang
,
Minghui Wang
IEEE Signal Processing Letters
2017
Corpus ID: 13989629
Automatic detection of salient objects in images has gained its popularity in computer vision field for its usage in numerous…
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Highly Cited
2017
Highly Cited
2017
Intrinsic3D: High-Quality 3D Reconstruction by Joint Appearance and Geometry Optimization with Spatially-Varying Lighting
Robert Maier
,
Kihwan Kim
,
D. Cremers
,
J. Kautz
,
M. Nießner
IEEE International Conference on Computer Vision
2017
Corpus ID: 7666185
We introduce a novel method to obtain high-quality 3D reconstructions from consumer RGB-D sensors. Our core idea is to…
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Highly Cited
2014
Highly Cited
2014
3-D Histogram-Based Segmentation and Leaf Detection for Rosette Plants
Jean-Michel Pape
,
Christian Klukas
ECCV Workshops
2014
Corpus ID: 6051783
Recognition and segmentation of plant organs like leaves is one of the major challenges in digital plant phenotyping. Here we…
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Highly Cited
2011
Highly Cited
2011
Smooth coverage path planning and control of mobile robots based on high-resolution grid map representation
Tae-Kyeong Lee
,
Sanghoon Baek
,
Young-Ho Choi
,
Se-Young Oh
Robotics Auton. Syst.
2011
Corpus ID: 38253353
Highly Cited
2005
Highly Cited
2005
THE EIKONAL EQUATION: NUMERICAL EFFICIENCY VS. ALGORITHMIC COMPLEXITY ON QUADRILATERAL GRIDS
Shu-Ren Hysingand
,
S. Turek
2005
Corpus ID: 115606262
This paper presents a study of the computational efficiency, t hat is accuracy versus computational effort, for solving the…
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Highly Cited
2002
Highly Cited
2002
Fuzzy Distance Transform: Theory, Algorithms, and Applications
P. Saha
,
F. Wehrli
,
B. Gomberg
Computer Vision and Image Understanding
2002
Corpus ID: 14401026
This paper describes the theory and algorithms of distance transform for fuzzy subsets, called fuzzy distance transform (FDT…
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Highly Cited
2000
Highly Cited
2000
Shape-based 3D surface correspondence using geodesics and local geometry
Y. Wang
,
B. Peterson
,
L. Staib
Proceedings IEEE Conference on Computer Vision…
2000
Corpus ID: 14805900
This paper describes a new method for determining correspondence between points on pairs of surfaces based on shape using a…
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Highly Cited
1998
Highly Cited
1998
Multi-feature hierarchical template matching using distance transforms
D. Gavrila
Proceedings. Fourteenth International Conference…
1998
Corpus ID: 7668815
We describe a multi-feature hierarchical algorithm to efficiently match N objects (templates) with am image using distance…
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Highly Cited
1996
Highly Cited
1996
Skeletonization algorithm running on path-based distance maps
G. S. D. Baja
,
E. Thiel
Image and Vision Computing
1996
Corpus ID: 8116305
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