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Finding Robust Vertices for 3D Synchronization Based on Euclidean Minimum Spanning Tree
- Source :
- Electronic Imaging, Electronic Imaging, Jan 2011, San Francisco, CA, United States. pp.78640W, ⟨10.1117/12.872384⟩, Three-Dimensional Imaging, Interaction, and Measurement
- Publication Year :
- 2011
- Publisher :
- HAL CCSD, 2011.
-
Abstract
- International audience; Synchronization in 3D data hiding is one of the main problems. We need to know where we can embed informa- tion, and be able to find this space in order to extract the message. Various algorithms propose synchronization techniques by triangle or vertex path in a 3D mesh. In this paper, we proposed a new synchronization technique based on Euclidean minimum spanning tree computing (EMST) and the analysis of the displacement of the vertices without moving the connections in the tree. Based on the analysis of the vertices, we select the most robust vertices and synchronize these areas by computing a new EMST called "robust EMST". Then, we analyze the robustness of the technique, i.e. the stability of the most robust vertices selection; and demonstrate the consistence of the criterion selection with the vertex displacement.
- Subjects :
- Graph center
Mathematical optimization
Spanning tree
Computer science
Graph theory
0102 computer and information sciences
02 engineering and technology
Minimum spanning tree
k-minimum spanning tree
01 natural sciences
Tree (graph theory)
Vertex (geometry)
010201 computation theory & mathematics
020204 information systems
Euclidean minimum spanning tree
[INFO.INFO-TI]Computer Science [cs]/Image Processing [eess.IV]
Path (graph theory)
0202 electrical engineering, electronic engineering, information engineering
Algorithm
MathematicsofComputing_DISCRETEMATHEMATICS
Minimum degree spanning tree
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Electronic Imaging, Electronic Imaging, Jan 2011, San Francisco, CA, United States. pp.78640W, ⟨10.1117/12.872384⟩, Three-Dimensional Imaging, Interaction, and Measurement
- Accession number :
- edsair.doi.dedup.....1dd2b36bc02c2cf9341bf39882253000
- Full Text :
- https://doi.org/10.1117/12.872384⟩