• Title/Summary/Keyword: 3차원 객체 모델링

Search Result 121, Processing Time 0.027 seconds

Modeling and Animation Implementation of 3D Humanoid base on the X3D (X3D 기만에서의 3차원 Humanoid 모델링과 애니메이션 구현)

  • 이성태;오근탁;김이선;이윤배
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.6 no.7
    • /
    • pp.1089-1094
    • /
    • 2002
  • We can travel every imaginary world and do every impossible thing via 3D character. People interest in 3D character animation for modeling like real world due to the increase of 3D game and imaginary Virtual Reality on the internet. In this paper, new framework for present of 3D character of high quality is applied. I represent 3-dimensional Humanoid modeling and animation technology and show the adequacy via simulation for various and natural representation certificate using VRML as a Web3D information type and XML.

A Study on the 3D Humanoid Modeling Animation Technology using X3D (X3D를 이용한 3차원 Humanoid 모델링과 애니메이션 기법에 관한 연구)

  • 이성태;오근탁;김이선;이윤배
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2002.11a
    • /
    • pp.812-816
    • /
    • 2002
  • 인터넷 기술의 발전으로 온라인 가상 환경에서 3D 캐릭터를 통해 가상의 공간에서 현실로 넘나들고자 하는 욕구가 증대되고 있다. 3D 캐릭터를 통해 인간은 상상할 수 있는 모든 세계를 넘나들고, 실제 세계에서 실현이 불가능한 것도 가능하게 해주는 대리 역할을 한다. 더욱이 인터넷 상에서의 3D 게임이나 가상현실등의 증가로 인해 현실세계에 존재하는 물체들에 근접하게 모델링하기 위한 3D 캐릭터 애니메이션으로 관심이 쏠리고 있다. 본 논문에서는 3차원 객체를 높은 품질로 표현하기 위해서 새로운 framework을 적용한다. 다양하고 자연스러운 형태의 표현을 위해 Web3D 자료 형태인 VRML과 XML을 이용하여 3차원 Humanoid의 모델링과 애니메이션 기법을 제안하고 Simulation을 통해 타당성을 검증한다.

  • PDF

2D CAD 이미지 분석 기반 3D 객체 자동 생성 방법 설계

  • Seo, Min-Jae;Lee, Yu-Jin;Choe, Hui-Jo;Im, Hyeon-Gyu;Choe, Yeong-Gyu;Jeon, Ji-Hye
    • Broadcasting and Media Magazine
    • /
    • v.27 no.3
    • /
    • pp.67-78
    • /
    • 2022
  • 제조업과 같은 산업체에서는 현장을 이해하고 문서를 확인하는 과정에서 시간, 비용이 많이 소요되기 때문에 해석하기 용이한 3차원 형태의 데이터로 미리 제작하고 온라인으로 모델을 공유하고 수정하는 것은 작업 효율을 향상시킬 수 있다. 작업물을 3D 객체 형태로 분석하거나 수정 보완을 위한 가상 목업(mock-up)으로 활용할 경우, 3D 모델링을 빠르고 정확하게 생성하는 기술에 대한 연구가 필요하다. 본 논문에서는 2D CAD 이미지를 분석하여 도형 형태와 수치 정보를 각각 인식하고 3D 객체를 자동 생성하는 방법의 설계를 제안한다. 제안한 방식을 통해서 2D 이미지 파일의 별도 변환 없이 3D 객체로 자동 생성할 수 있다. 빠르게 자동 생성된 3D 객체는 XR 등의 다양한 플랫폼에서 정확하고 세밀한 형태를 가상 공간에서 공유할 수 있어 작업자 간 협업 효율성을 높일 수 있다.

Evaluation on Practical Use of Raw Data for 3D Indoor Space Modeling (3차원 실내공간 모델링 원시자료의 활용도 평가)

  • Kim, Yun Ji;Yoo, Byoung Min;Lee, Jiyeong
    • Spatial Information Research
    • /
    • v.22 no.6
    • /
    • pp.33-43
    • /
    • 2014
  • As the number of people who live indoor space has been increased, the interest in 3D indoor spatial information has been grown. Object-Oriented 3D indoor space modeling including indoor spatial information has performed in level of detail 4, and modeling data is able to be constructed based on various raw data which are as-built drawing, laser scanning, BIM data, and camera. 3D indoor space modeling has been worked based on established indoor space modeling process, and the result can be used for various application fields such as indoor space pedestrian navigation, facility management, disaster management, and so on. However, the modeling process has limitations to perform indoor space modeling efficiently, because the process is complicated and wastes time at modeling work. In this paper, we propose evaluation on practical use of raw data for 3D indoor space modeling purpose on supporting efficient indoor space modeling through analyzing the established process. Therefore, we define the requirements to evaluate the practical use of raw data and propose the verification method. In addition, as-built drawing which has been used in Seoul 3D indoor space modeling project will be applied to proposed method as a raw data.

A Development of Simulator for Autonomous Navigation System of UUV (무인잠수정의 자율운항시스템을 위한 시뮬레이터 개발)

  • Lee, Young-Il;Min, Jong-Soo;Song, Jin-Kook;Kim, Yong-Gi
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.12 no.3
    • /
    • pp.581-589
    • /
    • 2008
  • The goal of a simulator is to provide for the testing of new technologies and to facilitate the eventual transfer of these technologies to the applications. In the Development Step, Simulation can provide a cost effective alternative to expensive and hazardous field testing. In this paper, a 3D simulator is developed to test UUV navigation system bated on RVC model. The simulation system consists of a environment manager, objects and a 3D viewer. Objects are modeling all physical elements such as map, obstacle and UUV which reside in a underwater environment. Those objects are created and initialized by environment manager. The environment manager plays the role of intermediator which allows created objects to interact with each other, and transmits information on the objects to 3D viewer. The 3D viewer analyzes the received information and visualizes 3D graphic by using OpenGL primitives.

Object Detection From 3D Terrain Data Gener Ated by Laser Scanner of Intelligent Excavating System(IES) (굴삭 자동화를 위한 레이저 스캐너 기반의 3차원 객체 탐지 알고리즘의 개발)

  • Yoo, Hyun-Seok;Park, Ji-Woon;Choi, Youn-Nyung;Kim, Young-Suk
    • Korean Journal of Construction Engineering and Management
    • /
    • v.12 no.6
    • /
    • pp.130-141
    • /
    • 2011
  • The intelligent excavating system(IES), the development in South Korea of which has been underway since 2006, aims for the full-scale automation of the excavation process that includes a series of tasks such as movement, excavation and loading. The core elements to ensure the quality and safety of the automated excavation equipment include 3D modeling of terrain that surrounds the excavating robot and the technology for detecting objects accurately(i.e., for detecting the location of nearby loading trucks and humans as well as of obstacles positioned on the movement paths). Therefore the purpose of this research is to ensure the quality and safety of automated excavation detecting the objects surrounding the excavating robot via a 3D laser scanning system. In this paper, an algorithm for estimating the location, height, width, and shape of objects in the 3D-realized terrain that surrounds the location of the excavator was proposed. The performance of the algorithm was verified via tests in an actual earthwork field.

Efficient Mesh Modeling using Silhouette Contour Constraint from Depth Map (경계라인 제약조건을 이용한 깊이 맵 기반 메쉬 모델링)

  • Park Jeungchul;Kim Seung-man;Lee Kwan H.
    • Proceedings of the Korean Information Science Society Conference
    • /
    • 2005.11a
    • /
    • pp.682-684
    • /
    • 2005
  • 본 논문에서는 동적인 실제 객체로부터 얻어진 깊이 맵으로부터 3차원 메쉬 모델을 생성할 때, 영상의 경계정보를 기반으로 효율적인 비정규 메쉬를 생성하는 기법을 제안한다. 우선 깊이 맵으로부터 소수의 특징점과 경계영역에서의 실루엣 점을 추출한다. Delaunay 삼각화 기법을 적용할 때 경계 피부에 발생하는 불필요한 삼각형들을 효율적으로 제거하기 위해 실루엣점으로 구성된 경계 라인을 제약조건으로 사용한다. 즉 깊이 맵으로부터 경계 영역 정보를 추출하고 이를 기반으로 관심 객체의 비정규 삼각 메쉬에 존재하는 불필요한 외부 삼각형을 제거한다. 최종적으로 생성된 3차원 메쉬에 포함된 형상 노이즈를 제거하기 위해 메쉬 스무딩 기법을 적용하고, 깊이 맵과 동시에 획득된 컬러 영상을 텍스쳐링하여 3차원 메쉬를 생성한다.

  • PDF

Study on hole-filling technique of motion capture images using GANs (Generative Adversarial Networks) (GANs(Generative Adversarial Networks)를 활용한 모션캡처 이미지의 hole-filling 기법 연구)

  • Shin, Kwang-Seong;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
    • /
    • 2019.05a
    • /
    • pp.160-161
    • /
    • 2019
  • As a method for modeling a three-dimensional object, there are a method using a 3D scanner, a method using a motion capture system, and a method using a Kinect system. Through this method, a portion that is not captured due to occlusion occurs in the process of creating a three-dimensional object. In order to implement a perfect three-dimensional object, it is necessary to arbitrarily fill the obscured part. There is a technique to fill the unexposed part by various image processing methods. In this study, we propose a method using GANs, which is the latest trend of unsupervised machine learning, as a method for more natural hole-filling.

  • PDF

A Study on the Selection and Applicability Analysis of 3D Terrain Modeling Sensor for Intelligent Excavation Robot (지능형 굴삭 로봇의 개발을 위한 로컬영역 3차원 모델링 센서 선정 및 현장 적용성 분석에 관한 연구)

  • Yoo, Hyun-Seok;Kwon, Soon-Wook;Kim, Young-Suk
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.33 no.6
    • /
    • pp.2551-2562
    • /
    • 2013
  • Since 2006, an Intelligent Excavation Robot which automatically performs the earth-work without operator has been developed in Korea. The technologies for automatically recognizing the terrain of work environment and detecting the objects such as obstacles or dump trucks are essential for its work quality and safety. In several countries, terrestrial 3D laser scanner and stereo vision camera have been used to model the local area around workspace of the automated construction equipment. However, these attempts have some problems that require high cost to make the sensor system or long processing time to eliminate the noise from 3D model outcome. The objectives of this study are to analyze the advantages of the existing 3D modeling sensors and to examine the applicability for practical use by using Analytic Hierarchical Process(AHP). In this study, 3D modeling quality and accuracy of modeling sensors were tested at the real earth-work environment.

3D building modeling from airborne Lidar data by building model regularization (건물모델 정규화를 적용한 항공라이다의 3차원 건물 모델링)

  • Lee, Jeong Ho;Ga, Chill Ol;Kim, Yong Il;Lee, Byung Gil
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.30 no.4
    • /
    • pp.353-362
    • /
    • 2012
  • 3D building modeling from airborne Lidar without model regularization may cause positional errors or topological inconsistency in building models. Regularization of 3D building models, on the other hand, restricts the types of models which can be reconstructed. To resolve these issues, this paper modelled 3D buildings from airborne Lidar by building model regularization which considers more various types of buildings. Building points are first segmented into roof planes by clustering in feature space and segmentation in object space. Then, 3D building models are reconstructed by consecutive adjustment of planes, lines, and points to satisfy parallelism, symmetry, and consistency between model components. The experimental results demonstrated that the method could make more various types of 3d building models with regularity. The effects of regularization on the positional accuracies of models were also analyzed quantitatively.