Index spaces for 3D retrieval: toward a better understanding of their geometry and distribution

2010 ◽  
Author(s):  
E. Paquet ◽  
H. L. Viktor
Keyword(s):  
3D Retrieval

scholarly journals The Development and Applications of Ultrafast Electron Nanocrystallography

2009 ◽  
Vol 15 (4) ◽  
pp. 323-337 ◽  
Author(s):  
Chong-Yu Ruan ◽  
Yoshie Murooka ◽  
Ramani K. Raman ◽  
Ryan A. Murdick ◽  
Richard J. Worhatch ◽  
...  
Keyword(s):  
Temporal Resolution ◽  
Structural Dynamics ◽  
Atomic Scale ◽  
Energy Redistribution ◽  
Gold Nanocrystals ◽  
Charge Dynamics ◽  
Atomic Structures ◽  
Molecular Scale ◽  
Spatio Temporal ◽  
3D Retrieval

AbstractWe review the development of ultrafast electron nanocrystallography as a method for investigating structural dynamics for nanoscale materials and interfaces. Its sensitivity and resolution are demonstrated in the studies of surface melting of gold nanocrystals, nonequilibrium transformation of graphite into reversible diamond-like intermediates, and molecular scale charge dynamics, showing a versatility for not only determining the structures, but also the charge and energy redistribution at interfaces. A quantitative scheme for 3D retrieval of atomic structures is demonstrated with few-particle (<1,000) sensitivity, establishing this nanocrystallographic method as a tool for directly visualizing dynamics within isolated nanomaterials with atomic scale spatio-temporal resolution.

A Novel Retrieval Method Based on Semantic Motion

2012 ◽  
Vol 468-471 ◽  
pp. 103-106 ◽  
Author(s):  
Jian Xiang
Keyword(s):  
Motion Capture ◽  
Three Dimensional ◽  
Human Motion ◽  
Retrieval Algorithm ◽  
Widespread Application ◽  
Retrieval Method ◽  
Key Frame ◽  
Motion Data ◽  
Motion Retrieval ◽  
3D Retrieval

With the widespread application of motion capture technology, three-dimensional(3D) motion data can be directly obtained. In this paper, a new 3D retrieval algorithm based on semantic motion is proposed. With semantic motion template and extracting key-frame, 3D human motion database can be processed effectively by retrieval. Experiment results show that our method can improve the accuracy of motion retrieval.

An Approach of Similarity Analysis for Non-Rigid Models Based on Diffusion Map with Thin-Plate Spline

2013 ◽  
Vol 421 ◽  
pp. 625-629
Author(s):  
Ying Hui Wang ◽  
Wei Yong Wu
Keyword(s):  
Thin Plate ◽  
Geodesic Distance ◽  
Thin Plate Spline ◽  
New Method ◽  
Similarity Analysis ◽  
Diffusion Map ◽  
Rigid Objects ◽  
Isometric Transformation ◽  
3D Retrieval

Isometric transformation with geodesic distance is widely used in similarity analysis or 3D retrieval of non-rigid objects. However, geodesic distance is sensitive to topology noise and can be problematic in cases where objects topology is changed locally. In order to solve the problem, a new method based on diffusion map was proposed. We used diffusion map to compute embedded models and utilized thin-plate spline (TPS) to match the embedded models to obtain the similarity error of original objects. The method was tested on some examples, the results show that the new method is suitable to similarity analysis or 3D retrieval of non-rigid objects, moreover, our method is robust to the deformed objects with topology noise.

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