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Sensors ◽  
2022 ◽  
Vol 22 (2) ◽  
pp. 518
Author(s):  
Ashraf Siddique ◽  
Seungkyu Lee

The three-dimensional (3D) symmetry shape plays a critical role in the reconstruction and recognition of 3D objects under occlusion or partial viewpoint observation. Symmetry structure prior is particularly useful in recovering missing or unseen parts of an object. In this work, we propose Sym3DNet for single-view 3D reconstruction, which employs a three-dimensional reflection symmetry structure prior of an object. More specifically, Sym3DNet includes 2D-to-3D encoder-decoder networks followed by a symmetry fusion step and multi-level perceptual loss. The symmetry fusion step builds flipped and overlapped 3D shapes that are fed to a 3D shape encoder to calculate the multi-level perceptual loss. Perceptual loss calculated in different feature spaces counts on not only voxel-wise shape symmetry but also on the overall global symmetry shape of an object. Experimental evaluations are conducted on both large-scale synthetic 3D data (ShapeNet) and real-world 3D data (Pix3D). The proposed method outperforms state-of-the-art approaches in terms of efficiency and accuracy on both synthetic and real-world datasets. To demonstrate the generalization ability of our approach, we conduct an experiment with unseen category samples of ShapeNet, exhibiting promising reconstruction results as well.


Author(s):  
V. A. Ganchenko ◽  
E. E. Marushko ◽  
L. P. Podenok ◽  
A. V. Inyutin

This article describes evaluation the information content of metal objects surfaces for classification of fractures using 2D and 3D data. As parameters, the textural characteristics of Haralick, local binary patterns of pixels for 2D images, macrogeometric descriptors of metal objects digitized by a 3D scanner are considered. The analysis carried out on basis of information content estimation to select the features that are most suitable for solving the problem of metals fractures classification. The results will be used for development of methods for complex forensic examination of complex polygonal surfaces of solid objects for automated system for analyzing digital images.


2022 ◽  
Vol 2148 (1) ◽  
pp. 012007
Author(s):  
Mingwen Chi

Abstract In this paper, the technology of profile generation based on 3D model is studied. The main steps are as follows: (1) the location where the profile needs to be generated in 3D model design; (2) Using 3D data cutting technology to realize the generation of geological lines in profile; (3) Read the basic exploration data related to profile position in the database; (4) According to the data generated in the first three steps, the cross-section is automatically drawn after data coordinate transformation. The above method can quickly generate the geological profile of any location according to the 3D geological model, which is helpful for geological analysis and provides reference data for engineering design.


Author(s):  
A. Guntel ◽  
A. C. Aydinoglu

Abstract. Digital data production possibilities have developed with the emerging technologies, and it has become possible to use different data formats together. The usability of three-dimensional (3D) data on various application areas has increased with the multidimensional use of geographic data in established information systems, for 3D visualization, presentation, and analysis. Topography-related analyzes such as digital elevation models, digital terrain models, slope maps and visibility maps can be made from geographic data sets produced in 3D. In addition, the use of 3D data in Building Information Modeling (BIM) has added various innovations for geographic data analysis. In this study, a geographic database was established by taking the vector data produced in the 3D Cadastre project that was carried out by the General Directorate of Land Registry and Cadastre as an example. Data obtained from photogrammetry and architectural projects were used in accordance with the OGC CityGML standard. After creating 3D building database in GIS environment, as result of various visualization and analysis techniques, the contributions of this project to BIM were revealed for various applications such as real estate valuation, disaster management, renewable energy, 3D city models, and smart city projects.


2021 ◽  
Author(s):  
Giovanni Dalmasso ◽  
Marco Musy ◽  
Martina Niksic ◽  
Alexandre Robert-Moreno ◽  
Claudio Badia-Careaga ◽  
...  

Although the full embryonic development of species such as Drosophila and zebrafish can be 3D imaged in real time, this is not true for mammalian organs, as normal organogenesis cannot be recapitulated in vitro. Currently available 3D data is therefore ex vivo images which provide only a snap shot of development at discrete moments in time. Here we propose a computer based approach to recreate the continuous evolution in time and space of developmental stages from 3D volumetric images. Our method uses the mathematical approach of spherical harmonics to re-map discrete shape data into a space in which facilitates a smooth interpolation over time. We tested our approach on mouse limb buds (from E10 to E12.5) and embryonic hearts (from 10 to 29 somites). A key advantage of the method is that the resulting 4D trajectory takes advantage of all the available data (i.e. it is not dominated by the choice of a few "ideal" images), while also being able to interpolate well through time intervals for which there is little or no data. This method not only provides a quantitative basis for validating predictive models, but it also increases our understanding of morphogenetic processes. We believe this is the first data-driven quantitative 4D description of limb morphogenesis.


2021 ◽  
pp. 1-36
Author(s):  
Oskar Elek ◽  
Joseph N. Burchett ◽  
J. Xavier Prochaska ◽  
Angus G. Forbes

Abstract We present Monte Carlo Physarum Machine (MCPM): a computational model suitable for reconstructing continuous transport networks from sparse 2D and 3D data. MCPM is a probabilistic generalization of Jones's (2010) agent-based model for simulating the growth of Physarum polycephalum (slime mold). We compare MCPM to Jones's work on theoretical grounds, and describe a task-specific variant designed for reconstructing the large-scale distribution of gas and dark matter in the Universe known as the cosmic web. To analyze the new model, we first explore MCPM's self-patterning behavior, showing a wide range of continuous network-like morphologies—called polyphorms—that the model produces from geometrically intuitive parameters. Applying MCPM to both simulated and observational cosmological data sets, we then evaluate its ability to produce consistent 3D density maps of the cosmic web. Finally, we examine other possible tasks where MCPM could be useful, along with several examples of fitting to domain-specific data as proofs of concept.


2021 ◽  
Vol 10 (1) ◽  
pp. 18
Author(s):  
Simone Berto ◽  
Emanuel Demetrescu ◽  
Bruno Fanini ◽  
Jacopo Bonetto ◽  
Giuseppe Salemi

In this work, we will describe the application of the Extended Matrix Framework (EMF) to the 3D reconstruction of the temple on the Roman forum of Nora. EMF represents a specific section of the Extended Matrix (EM) method, developed by the VHLab of the CNR ISPC (Rome), dedicated to the development of software solutions for 3D data management in the field of virtual reconstruction. The combination of EM and EMF allows to: map the reconstructive process, validate the entire workflow (from data ingestion to 3D modelling), manage 3D data, and share outcomes online.


2021 ◽  
Vol 11 (23) ◽  
pp. 11568
Author(s):  
Maria Skublewska-Paszkowska ◽  
Pawel Powroznik ◽  
Jakub Smolka ◽  
Marek Milosz ◽  
Edyta Lukasik ◽  
...  

Traditional dance is one of the key elements of Intangible Culture Heritage (ICH). Many scientific papers concern analysis of dance sequences, classification and recognition of movements, making ICH data public, creating and visualising 3D models or software solutions for learning folklore dances. These works make it possible to preserve this disappearing art. The aim of this article is to propose a methodology for scanning folklore dances. The methodology was developed on the basis of capturing 3D data via an optical motion capture system with a full body Plug-in Gait model that allows for kinematic and kinetic analysis of motion sequences. An additional element of this research was the development of a hand model with which it is possible to precisely analyse the fingers, which play a significant role in many dances. The present methodology was verified on the basis of the Lazgi dance, included in the UNESCO ICH list. The obtained results of movement biomechanics for the dance sequence and the angles of the fingers indicate that it is universal and can be applied to dances that involve the upper and lower body parts, including hand movements.


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