• 제목/요약/키워드: 3D Computer

검색결과 5,127건 처리시간 0.034초

3D Content Design & Implementation of VR Horseback Riding Game

  • Park, HyungSoo;Kim, HoonKi;Seo, SiO
    • 한국컴퓨터정보학회논문지
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    • 제24권4호
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    • pp.73-81
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    • 2019
  • Various 3D contents are being developed using Unity 3D game engine. In this paper, the 3D content of horseback riding game, the first VR game in the country, is designed and developed. The existing riding simulator is investigated and compared to the VR riding game developed. We consider various games developed using Unity 3D game engine and serve previously developed tangible games. It is expected that development of VR riding games will prepare a new chapter in VR experience-type games. We propose the content development environment and scenario of VR riding game and present the main algorithms and main modules for real-time synchronization. The developed riding game contents are deployed to the riding system and are operated for commercial use in conjunction with the riding device. Through monitoring VR riding system, problems are derived and improvement measures are proposed. We offer a variety of additional development options to make the game more realistic in the future.

컴퓨터 시각과 레이저 구조광을 이용한 물체의 3차원 정보 추출 (Three Dimensional Geometric Feature Detection Using Computer Vision System and Laser Structured Light)

  • 황헌;장영창;임동혁
    • Journal of Biosystems Engineering
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    • 제23권4호
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    • pp.381-390
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    • 1998
  • An algorithm to extract the 3-D geometric information of a static object was developed using a set of 2-D computer vision system and a laser structured lighting device. As a structured light pattern, multi-parallel lines were used in the study. The proposed algorithm was composed of three stages. The camera calibration, which determined a coordinate transformation between the image plane and the real 3-D world, was performed using known 6 pairs of points at the first stage. Then, utilizing the shifting phenomena of the projected laser beam on an object, the height of the object was computed at the second stage. Finally, using the height information of the 2-D image point, the corresponding 3-D information was computed using results of the camera calibration. For arbitrary geometric objects, the maximum error of the extracted 3-D feature using the proposed algorithm was less than 1~2mm. The results showed that the proposed algorithm was accurate for 3-D geometric feature detection of an object.

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3차원 그래픽 설계와 3D 프린팅에 의한 보조기 쾌속조형 제작 방법 연구 (3D printing-based Fabrication of Orthotic Devices Using 3D Computer-Aided Design and Rapid Prototyping)

  • 최봉근;허서윤;손경태;이신영;나대영;이근민
    • 재활복지공학회논문지
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    • 제9권2호
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    • pp.145-151
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    • 2015
  • 본 연구에서는 3D 스캐닝에서 획득한 이미지 정보를 바탕으로 3차원 그래픽 제품설계와 3D 프린팅 기술을 적용한 보조기 제작방법을 제시하였다. 뇌성마비 환자를 대상으로 4가지 종류의 보조기를 기존의 수작업이 아닌 전산화된 작업 기술을 적용하여 제작해봄으로써 방법과 절차에 대한 기준을 마련하고, 이 기술이 임상적으로 사용 가능한지 여부에 대해 확인했다. 보조기 사용 시 환자만족도와 보조기 제작시간, 인장강도 등의 비교를 통하여 정량적, 정성적으로 제작방법의 적용 가능성을 검증한 결과 기존의 열가소성 수지가 표출했던 문제를 보완하고 대체가능한 방법이 될 가능성이 있음을 확인하였다.

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시 공간 정규화를 통한 딥 러닝 기반의 3D 제스처 인식 (Deep Learning Based 3D Gesture Recognition Using Spatio-Temporal Normalization)

  • 채지훈;강수명;김해성;이준재
    • 한국멀티미디어학회논문지
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    • 제21권5호
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    • pp.626-637
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    • 2018
  • Human exchanges information not only through words, but also through body gesture or hand gesture. And they can be used to build effective interfaces in mobile, virtual reality, and augmented reality. The past 2D gesture recognition research had information loss caused by projecting 3D information in 2D. Since the recognition of the gesture in 3D is higher than 2D space in terms of recognition range, the complexity of gesture recognition increases. In this paper, we proposed a real-time gesture recognition deep learning model and application in 3D space using deep learning technique. First, in order to recognize the gesture in the 3D space, the data collection is performed using the unity game engine to construct and acquire data. Second, input vector normalization for learning 3D gesture recognition model is processed based on deep learning. Thirdly, the SELU(Scaled Exponential Linear Unit) function is applied to the neural network's active function for faster learning and better recognition performance. The proposed system is expected to be applicable to various fields such as rehabilitation cares, game applications, and virtual reality.

2차원 모양 정보를 이용한 3차원 물체 검색 시스템 (3D Object Retrieval System Using 2D Shape Information)

  • 임삼;추현곤;최민석;김회율
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2001년도 하계종합학술대회 논문집(4)
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    • pp.57-60
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    • 2001
  • In this paper, we propose a new 3D object retrieval system using the shape information of 2D silhouette images. 2D images at different view points are derived from a 3D model and linked to the model. Shape feature of 2D image is extracted by a region-based descriptor. In the experiment, we compare the results of the proposed system with those of the system using curvature scale space(CSS) to show the efficiency of our system.

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깊이 영상을 이용한 3D 프린팅 기반 환자 맞춤형 안와 임플란트의 설계 및 제작 (3D Printing Based Patient-specific Orbital Implant Design and Production by Using A Depth Image)

  • 서우덕;김구진
    • 한국멀티미디어학회논문지
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    • 제23권8호
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    • pp.903-914
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    • 2020
  • In this paper, we present a novel algorithm to generate a 3D model of patient-specific orbital implant, which is finally produced by the 3D printer. Given CT (computed tomography) scan data of the defective orbital wall or floor, we compose the depth image of the defect site by using the depth buffering, which is a computer graphics technology. From the depth image, we compute the 3D surface which fills the broken part by interpolating the points around the broken part. By thickening the 3D surface, we get the 3D volume mesh of the orbital implant. Our algorithm generates the patient-specific orbital implant whose shape is accurately coincident to the broken part of the orbit. It provides the significant time efficiency for manufacturing the implant with supporting high user convenience.

Development of 3D Application For Mobile Phone Based on J2ME

  • Lee, Song-Won;Kim, Il-Myung;Hong, Sung-Soo
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2006년도 추계학술발표대회
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    • pp.455-458
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    • 2006
  • John Carmack who invented the 3D games let us know about the great 3D world and because of the MIDP 2.0(Mobile Information Device Profilers entering, it is not a fame to achieve playing 3D games with a mobile device. The data offered by iResearch market consultation show that the figure of mobile game players all around the world will take a steady increase from 290 million in 2005 to 1030 million in 2008, and the market income will mount up from $10,200 million to $52.000 million.3D games will be a current, the most famous kind of mobile games. In this paper I design 3D application based on J2ME (Java 2 Micro Edition) and implement a freely removable 3D object which happened in a 3D scene by receiving the keyboard response of mobile device with WTK (Wireless Too.Kit) simulator.

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3D 모델링 프로세스를 지원하는 UI 설계 (UI Design supporting 3D Modeling Process)

  • 김기홍;장영우;이웅광;이동구;김성기
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2015년도 추계학술발표대회
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    • pp.1068-1070
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    • 2015
  • 3D 프린터의 보급으로 3D 모델링에 대한 관심이 높아지고 있다. 그러나 3D 모델링에 대한 지식이 없는 사람들의 경우 기존 3D 모델링 도구를 사용하기 위해서는 도구에 대한 지식 습득은 물론 기능 중심의 복잡한 UI에 대한 숙달이 필요하다. 그렇기 때문에 본 논문에서는 기능 중심의 UI 구조와 모델링 프로세스 중심의 UI 구조에 대하여 3D 모델링의 효율성을 비교한다.

3D 그래픽스 셰이더 공간 변환의 시각화 (Visualization of 3D Graphics Shader Space Transformation)

  • 이상원
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2022년도 제66차 하계학술대회논문집 30권2호
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    • pp.219-220
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    • 2022
  • 3D 그래픽스 환경에서 입체적인 물체가 2D 모니터에 보여지는 과정에는 여러 단계의 공간 변환과 행렬 계산을 거치게 된다. 이러한 공간 변환은 각 단계가 어떤 의미인지 쉽게 이해하기에 어려운 면이 있다. 본 논문에서는 유니티 3D 엔진에서 작동하는 셰이더를 통해 각 단계의 공간을 시각화 하여 학생들이 보다 쉽게 공간 변환을 이해하는 시각화 방법을 제시한다.

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MLESAC 움직임 추정 기반의 파티클 필터를 이용한 3D 얼굴 추적 (3D Face Tracking using Particle Filter based on MLESAC Motion Estimation)

  • 성하천;변혜란
    • 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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    • 제16권8호
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    • pp.883-887
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    • 2010
  • 3D 얼굴 추적(Face tracking)은 보안감시, HCI(Human-Computer Interface), 엔터테인먼트(Entertainment)등 컴퓨터 비전과 관련된 여러 분야의 핵심 기술로서 많은 연구가 진행되고 있다. 하지만, 광범위한 응용분야에도 불구하고 3D 얼굴 추적의 기본적인 높은 연산 비용으로 인하여 그 응용 분야가 모바일 단말기 등의 저 사양 플랫폼에는 많은 한계가 있어왔다. 본 논문에서는 이러한 3D얼굴 추적의 연산 비용을 효과적으로 해결하고 폭 넓게 응용 분야를 확대하기 위하여 MLESAC(Maximum Likelihood Estimation by Sampling Consensus)을 이용한 움직임 추정(Motion Estimation) 기법과 기존의 파티클 필터(Particle Filter)를 결합하여 실행 속도 면에서 빠르면서도 성능 면에서도 우수한 3D 얼굴 추적 알고리즘을 제안한다.