Performance in haptic geometrical matching tasks depends on movement and position of the arms

2011 ◽  
Vol 136 (3) ◽  
pp. 382-389 ◽  
Author(s):  
Marcos Fernández-Díaz ◽  
David Travieso
Keyword(s):  
Geometrical Matching

Interfacial structures of Y123 and Nd123 films formed on MgO(001) substrates by liquid phase epitaxy

2004 ◽  
Vol 19 (9) ◽  
pp. 2674-2682 ◽  
Author(s):  
J.S. Matsuda ◽  
F. Oba ◽  
T. Murata ◽  
T. Yamamoto ◽  
Y. Ikuhara ◽  
...  
Keyword(s):  
Liquid Phase ◽  
Molecular Orbital ◽  
Liquid Phase Epitaxy ◽  
Molecular Orbital Calculations ◽  
Lattice Matching ◽  
Transmission Electron ◽  
Interfacial Structures ◽  
Chemical Factors ◽  
Geometrical Matching ◽  
Interfacial Free Energies

Interfacial structures of c-axis-oriented YBa2Cu3O7–y (Y123) and Nd1+xBa2–xCu3O7–y (Nd123) films were investigated by high-resolution transmission electron microscopy (HRTEM) in conjunction with geometrical lattice matching and molecular orbital calculations. These films were formed on MgO(001) substrates by liquid-phase epitaxy. Despite the similarity in lattice constants between Y123 and Nd123, the in-plane orientation relationship (OR) to the substrates is different: [100]film//[100]substrate(I) for Y123 and [110]film//[100]substrate(II) for Nd123. From the results of HRTEM observations and image simulations, it was found that the Y123 and Nd123 films are terminated by BaO and CuO-chain layers at the interfaces, respectively. For both the Y123/MgO and Nd123/MgO systems, the OR(I) is assessed to be the most favorable in point of geometrical matching and the OR(II) is the second among the rotational misorientations on the [001]film and [001]MgO. The molecular orbital calculations reveal that the interface with the OR(II) and the CuO-chain layer termination is preferable in terms of covalent bonding for both the systems. Consequently, we suggest that the preferential interfacial structures are delicately determined by a balance of the geometrical and chemical factors at the interfaces, resulting in making the lowest interfacial free energies.

scholarly journals GEMA2: Geometrical matching analytical algorithm for fast mobile robots global self-localization

2014 ◽  
Vol 62 (6) ◽  
pp. 855-863 ◽  
Author(s):  
C. Sánchez ◽  
A. Soriano ◽  
M. Vallés ◽  
E. Vendrell ◽  
A. Valera
Keyword(s):  
Mobile Robots ◽  
Analytical Algorithm ◽  
Geometrical Matching

scholarly journals Near Atomic Row Matching in the Interface Analyzed in Both Direct and Reciprocal Space

Crystals ◽  
2020 ◽  
Vol 10 (3) ◽  
pp. 192 ◽  
Author(s):  
Xinfu Gu
Keyword(s):  
Electron Microscopy ◽  
Transmission Electron Microscopy ◽  
Reciprocal Space ◽  
Free Software ◽  
Geometrical Method ◽  
Matching Method ◽  
Transmission Electron ◽  
Geometrical Matching ◽  
Diffraction Patterns ◽  
New Phase

Reproducible crystallographic features between new phase and matrix are often observed during phase transformation, including orientation relationship, interfacial orientation, morphology, and so on. The geometrical matching in the interface is the key to understanding the preferred transformation crystallography. Recently, a new geometrical method emphasizing the atomic row matching in the interface, the so-called near row matching method, has been proposed to predict the preferred orientations between two arbitrary crystals. In this work, this method originally expressed in direct space was further extended to the reciprocal space. These two methods were implemented in our free software PTClab (version 1.19). It is found that these two expressions are nearly equivalent. As the near row matching in reciprocal space could be directly measured by the diffraction patterns with transmission electron microscopy (TEM), the condition of atomic row matching would be easily identified in reciprocal space during TEM work, and could be applied to rationalize the experimental observations. Several examples in bothsmall and large misfit alloy systems are shown to apply the near tow matching method in both direct and reciprocal space. Furthermore, the row matching method is compared with other models, and there are some crucial aspects that need extra attention when being applied to prediction.

Automatic interpretation strategies for synthetic aperture radar images

1988 ◽  
Vol 324 (1579) ◽  
pp. 409-421 ◽  
Keyword(s):  
Image Interpretation ◽  
Map Matching ◽  
Low Level ◽  
Radar Images ◽  
Automatic Interpretation ◽  
Segmented Image ◽  
Geometrical Matching ◽  
Automatic Methods ◽  
High Level ◽  
Effective Use

Effective use of the large amounts of timely data to be provided by the coming generation of space-based radars will require automatic methods of image interpretation. The key to such interpretation is an image representation, based on low-level operations, which can support the introduction of high-level (rule-based) knowledge. This representation, described in this paper as a segmented image database (SID), is dependent on the performance of the low-level operations (segmentation, edge-detection and thin-line-detection) which generate it. Methods of quantifying the performance of these operations are described. Use of the SID to support classification based on context, and image-map matching that uses image structure, rather than geometrical matching, are demonstrated.

scholarly journals Geometrical Matching of SAR and Optical Images Utilizing ASIFT Features for SAR-based Navigation Aided Systems

Sensors ◽  
2019 ◽  
Vol 19 (24) ◽  
pp. 5500 ◽  
Author(s):  
Jakub Markiewicz ◽  
Karol Abratkiewicz ◽  
Artur Gromek ◽  
Wojciech Ostrowski ◽  
Piotr Samczyński ◽  
...  
Keyword(s):  
Optical Sensors ◽  
Real Life ◽  
Navigation Systems ◽  
Scale Invariant ◽  
Sar Images ◽  
Optical Images ◽  
Sar Imaging ◽  
Geometrical Matching ◽  
Imaging Sensors ◽  
Scale Invariant Feature

This article presents a new approach to the estimation of shift and rotation between two images from different kinds of imaging sensors. The first of the image is an orthophotomap that is created using optical sensors with georeference information. The second one is created utilizing a Synthetic Aperture Radar (SAR) sensor.The proposed solution can be mounted on a flying platform, and, during the flight, the obtained SAR images are compared with the reference optical images, and thus it is possible to calculate the shift and rotation between these two images and then the direct georeferencing error. Since both images have georeference information, it is possible to calculate the navigation correction in cases when the drift of the calculated trajectory is expected. The method can be used in platforms where there is no satellite navigation signal and the trajectory is calculated on the basis of an inertial navigation system, which is characterized by a significant error. The proposed method of estimating the navigation error utilizing Affine Scale-Invariant Feature Transform (ASIFT) and Structure from Motion (SfM) is described, and techniques for improving the quality of SAR imaging using despeckling filters are presented. The methodology was tested and verified using real-life SAR images. Differences between the results obtained for a few selected despeckling methods were compared and commented on. Deep investigation of the nature of the SAR imaging technique and noise creation character allows new algorithms to be developed, which can be implemented on flying platforms to support existing navigation systems in which trajectory error occurs.

Geometrical matching and its influence on the melting transition of confined vortices in a mesoscopic triangle of Bi2Sr2CaCu2O8+y superconductor

2019 ◽  
Vol 100 (14) ◽  
Author(s):  
S. Ooi ◽  
M. Tachiki ◽  
T. Mochiku ◽  
K. Komori ◽  
K. Hirata ◽  
...  
Keyword(s):  
Melting Transition ◽  
Geometrical Matching

ECG Beat Detection Using a Geometrical Matching Approach

2007 ◽  
Vol 54 (4) ◽  
pp. 641-650 ◽  
Author(s):  
Kleydis V. Suarez ◽  
Jesus C. Silva ◽  
Yannick Berthoumieu ◽  
Pedro Gomis ◽  
Mohamed Najim
Keyword(s):  
Geometrical Matching ◽  
Beat Detection
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