• Title/Summary/Keyword: 3D Based

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Development of Web based 3D Figure Learning Program Using JAVA 3D (JAVA 3D를 이용한 웹 기반 입체도형 학습 프로그램의 개발)

  • Kim, Jong-Min;Ju, Young-Jin
    • Journal for History of Mathematics
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    • v.21 no.1
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    • pp.121-138
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    • 2008
  • In this study, we designed and developed Web-based 3D figure learning program which can create and control the 3D figures effectively in cyberspace. To develop this learning program, we used the JAVA 3D because JAVA 3D can express 3D figures effectively in cyberspace and is platform independent. This program is very helpful for learners to understand the concept of 3D space and the formulation of space concept effectively. Also it motivates learners to understand 3D figures study and enables Self-Directed-Learning.

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A Web-Based Robot Simulator (웹 기반 로봇 시뮬레이터)

  • Hong, Soon-Hyuk;Lee, Sang-Hyun;Jeon, Jae-Wook;Yoon, Ji-Sup
    • Journal of Institute of Control, Robotics and Systems
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    • v.7 no.3
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    • pp.255-262
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    • 2001
  • According to the advancement of web related technologies, many works on robots using these technologies, called web-based robots enables sharing of expensive equipments as well as control of remote robots. But none of the existing methods about web-based robots in-clude robot simulators in their web browser, which transfer appropriate information of a remote place to the local users. In this paper, a web-based robot simulator is proposed and developed to control a remote robot by using the web. The proposed simulator can transfer the 3D information about the remote robot to the local users by using 3D graphics, which has not been previously developed. Also, it sends the camera image of a remote place to the local users so that the users can use this camera image as well as 3D information in order to control the remote robot.

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MLS-Based Finite Elements and a Proposal for Their Applications (MLS기반 유한요소와 그 응용에 관한 제언)

  • Cho, Young-Sam
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.22 no.4
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    • pp.335-341
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    • 2009
  • In this paper, review of developed MLS-based finite elements and a proposal for their applications are described. The shape functions and their derivatives of MLS-based finite elements are constructed using Moving-Least Square approximation. In MLS-based finite element, using the adequate influence domain of weight function used in MLS approximation, kronecker delta condition could be satisfied at the element boundary. Moreover, because of the characteristics of MLS approximation, we could easily add extra nodes at an arbitrary position in MLS-based finite elements. For these reasons, until now, several variable-node elements(2D variable element for linear case and quadratic case and 3D variable-node elements) and finite crack elements are developed using MLS-based finite elements concept. MLS-based finite elements could be extended to 2D variable-node triangle element, 2D finite crack triangle element, variable-node shell element, finite crack shell element, and 3D polyhedron element. In this paper, we showed the feasibility of 3D polyhedron element at the case of femur meshing.

CAD-Based 3-D Object Recognition Using Hough Transform (Hough 변환을 이용한 캐드 기반 삼차원 물체 인식)

  • Ja Seong Ku;Sang Uk Lee
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.32B no.9
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    • pp.1171-1180
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    • 1995
  • In this paper, we present a 3-D object recognition system in which the 3-D Hough transform domain is employed to represent the 3-D objects. In object modeling step, the features for recognition are extracted from the CAD models of objects to be recognized. Since the approach is based on the CAD models, the accuracy and flexibility are greatly improved. In matching stage, the sensed image is compared with the stored model, which is assumed to yield a distortion (location and orientation) in the 3-D Hough transform domain. The high dimensional (6-D) parameter space, which defines the distortion, is decomposed into the low dimensional space for an efficient recognition. At first we decompose the distortion parameter into the rotation parameter and the translation parameter, and the rotation parameter is further decomposed into the viewing direction and the rotational angle. Since we use the 3-D Hough transform domain of the input images directly, the sensitivity to the noise and the high computational complexity could be significantly alleviated. The results show that the proposed 3-D object recognition system provides a satisfactory performance on the real range images.

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Effects of Depth Map Quantization for Computer-Generated Multiview Images using Depth Image-Based Rendering

  • Kim, Min-Young;Cho, Yong-Joo;Choo, Hyon-Gon;Kim, Jin-Woong;Park, Kyoung-Shin
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.5 no.11
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    • pp.2175-2190
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    • 2011
  • This paper presents the effects of depth map quantization for multiview intermediate image generation using depth image-based rendering (DIBR). DIBR synthesizes multiple virtual views of a 3D scene from a 2D image and its associated depth map. However, it needs precise depth information in order to generate reliable and accurate intermediate view images for use in multiview 3D display systems. Previous work has extensively studied the pre-processing of the depth map, but little is known about depth map quantization. In this paper, we conduct an experiment to estimate the depth map quantization that affords acceptable image quality to generate DIBR-based multiview intermediate images. The experiment uses computer-generated 3D scenes, in which the multiview images captured directly from the scene are compared to the multiview intermediate images constructed by DIBR with a number of quantized depth maps. The results showed that there was no significant effect on depth map quantization from 16-bit to 7-bit (and more specifically 96-scale) on DIBR. Hence, a depth map above 7-bit is needed to maintain sufficient image quality for a DIBR-based multiview 3D system.

Implementation of 3D Animation using 3D Graphic SW(Blender) based on STL Files (3D 그래픽 SW(Blender)를 활용한 STL파일 기반의 3D 애니메이션 제작)

  • Kim, Jong-Jin;Kim, Jong-Seong
    • The Journal of the Korea Contents Association
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    • v.18 no.9
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    • pp.710-721
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    • 2018
  • In this study, we have suggested a method to create 3D animation based on STL files which are easily available on the internet using Blender, which is one of the most popular open-source 3D modeling SW. And the procedure of making 3D animation using STL file was compared with those for OBJ or FBX files as well. Contrary to OBJ and FBX, STL files do not contain information regarding hierarchy, material and texture which are very important in making 3D animation. Especially the absence of hierarchy may cause serious problems in rigging, which involves movement of unwanted parts of 3D object during rigging process. It is demonstrated that the weight painting feature of Blender could be a solution to tackle the faulty rigging due to attributes of STL files. The effect of the sampling frequency and the resolution on the rendering time is also investigated with respect to the 3D mantis animation. It is also seen that insect models by 3D printer could be used as a new type of pedagogical material in the elementary science education.

A fast gamma-ray dose rate assessment method for complex geometries based on stylized model reconstruction

  • Yang, Li-qun;Liu, Yong-kuo;Peng, Min-jun;Li, Meng-kun;Chao, Nan
    • Nuclear Engineering and Technology
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    • v.51 no.5
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    • pp.1436-1443
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    • 2019
  • A fast gamma-ray dose rate assessment method for complex geometries based on stylized model reconstruction and point-kernel method is proposed in this paper. The complex three-dimensional (3D) geometries are imported as a 3DS format file from 3dsMax software with material and radiometric attributes. Based on 3D stylized model reconstruction of solid mesh, the 3D-geometrical solids are automatically converted into stylized models. In point-kernel calculation, the stylized source models are divided into point kernels and the mean free paths (mfp) are calculated by the intersections between shield stylized models and tracing ray. Compared with MCNP, the proposed method can implement complex 3D geometries visually, and the dose rate calculation is accurate and fast.

Development of 3D Scanner Based on Laser Structured-light Image (레이저 구조광 영상기반 3차원 스캐너 개발)

  • Ko, Young-Jun;Yi, Soo-Yeong;Lee, Jun-O
    • Journal of Institute of Control, Robotics and Systems
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    • v.22 no.3
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    • pp.186-191
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    • 2016
  • This paper addresses the development of 3D data acquisition system (3D scanner) based laser structured-light image. The 3D scanner consists of a stripe laser generator, a conventional camera, and a rotation table. The stripe laser onto an object has distortion according to 3D shape of an object. By analyzing the distortion of the laser stripe in a camera image, the scanner obtains a group of 3D point data of the object. A simple semiconductor stripe laser diode is adopted instead of an expensive LCD projector for complex structured-light pattern. The camera has an optical filter to remove illumination noise and improve the performance of the distance measurement. Experimental results show the 3D data acquisition performance of the scanner with less than 0.2mm measurement error in 2 minutes. It is possible to reconstruct a 3D shape of an object and to reproduce the object by a commercially available 3D printer.

A Study of Video-Based Abnormal Behavior Recognition Model Using Deep Learning

  • Lee, Jiyoo;Shin, Seung-Jung
    • International journal of advanced smart convergence
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    • v.9 no.4
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    • pp.115-119
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    • 2020
  • Recently, CCTV installations are rapidly increasing in the public and private sectors to prevent various crimes. In accordance with the increasing number of CCTVs, video-based abnormal behavior detection in control systems is one of the key technologies for safety. This is because it is difficult for the surveillance personnel who control multiple CCTVs to manually monitor all abnormal behaviors in the video. In order to solve this problem, research to recognize abnormal behavior using deep learning is being actively conducted. In this paper, we propose a model for detecting abnormal behavior based on the deep learning model that is currently widely used. Based on the abnormal behavior video data provided by AI Hub, we performed a comparative experiment to detect anomalous behavior through violence learning and fainting in videos using 2D CNN-LSTM, 3D CNN, and I3D models. We hope that the experimental results of this abnormal behavior learning model will be helpful in developing intelligent CCTV.

A Method for Visualizing a Large JT File of Ship Blocks in an Android Device (선박 블록 단위의 대용량 JT 파일을 안드로이드 기기에서 가시화하는 방법)

  • Cheon, Sanguk;Suh, Heung-Won
    • Korean Journal of Computational Design and Engineering
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    • v.18 no.4
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    • pp.258-266
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    • 2013
  • In shipbuilding, 2D manufacturing drawings are crucial for building a ship. Even various types of 3D models are being utilized for supporting ship manufacturing, which does not reduce the importance of 2D drawings. Recently things are changing in the shipbuilding industry. To reduce the number of 2D drawings or to reduce the quantity of information contained in 2D drawings, some attempts that can substitute for 2D drawings are being made. One of the attempts is to visualize lightweight 3D manufacturing models in a mobile device. In this paper, a method for displaying lightweight 3D models of a ship in an Android based device is introduced. To overcome the problem with parsing JT files in Android system, JT files are parsed in a Windows based server and as-simple-as-possible visualization data are transmitted to an Android based viewer. A comparison result with a commercial system is also given.