• Title/Summary/Keyword: Visual Modeling

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An Analysis of the Color Palette using 3D Visual Presentation (3차원 프리젠테이션을 이용한 실내디자인 색채팔레트 분석)

  • 김은정;이현수
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2001.11a
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    • pp.51-55
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    • 2001
  • Usual1y, common color systems have been expressed with two dimensional method such as books. We think that the three dimensional presentation of color is very useful to know the characteristics of the color palette for interior design. And, it might be convenient far planning the colors of interior design. This paper deals with the method of 3D presentation. We used AutoCAD 2000 and 3dMax 4.0 in modeling the color system. By presenting which parts of the munsell color system used in the colors which have appeared in interior design three dimensionally, the guideline fur the interior designers can be suggested.

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The Development of the Object-Oriented Technical Document Management System (OOTDMS) (객체지향형 기술정보관리시스템 설계 및 개발)

  • Oh, Tae-Hoon;Kim, Sunn-Ho;Park, Jeong-Sun
    • IE interfaces
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    • v.11 no.2
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    • pp.49-64
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    • 1998
  • 최근 제품데이타관리 시스템 내에서 관리되는 데이터들은 보다 복잡한 구조와 다양한 형태를 가지게 되었으며, 이들 데이터들을 효율적으로 관리하기 위한 새로운 기법으로 객체지향기법이 대두되었다. 객체지향 기법 및 기술은 시스템의 생산성과 재사용성을 향상시키고 보다 실세계에 근접한 개념으로 프로그램의 설계와 구현을 가능하게 하였다. 본 연구에서는 객체지향적 패러다임을 이용하여 기술정보관리 시스템 내에서 제품개발의 전반에 걸쳐 생성되는 도면무서, 부품 및 BOM 등의 데이터 관리 요소들을 객체지향으로 분석 및 설계하였으며, 프로토타입을 개발하였다. 객체지향 분석 및 설계를 위해서는 Rumbaugh의 OMT(Object Modeling Technique) 방법을 이용하였으며, 개발된 프로토타입은 크게 도면 및 부품관리 모듈과 BOM모듈로 구분된다. 부품 및 도면관리모듈은 PowerBuilder로, BOM모듈은 Visual C++로 개발되어 서로 독립적으로 수행되도록 구성하였으며, 이들간에 데이터교환이 가능하게 하였다. 또한, 구현된 객체지향 BOM관리모듈은 BOM구조복사 및 관계형 데이터베이스와 연결, OPTION관리 등의 기능을 포함하고 있다.

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Design and Implementation of Real-Time Progress Management System Using UML (Unified Modeling Language) - The Focus on Steel Structural Construction - (UML을 이용한 실시간 진도관리 시스템의 설계 및 구현 - 로봇 크레인 기반 철골공사를 중심으로 -)

  • Park, Jung-Lo;Kim, Kyung-Hwan;Kim, Jael-Jun
    • Proceedings of the Korean Institute of Building Construction Conference
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    • 2009.05b
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    • pp.163-166
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    • 2009
  • All sorts of technique for schedule progress management is being developed recently, These can change and develop the abstractive concept model to a detailed model that describes the visual 3D image about a schedule plan. but, this technique is troublesome, because this requires the handwork by means of connection between 3D-CAD and scheduling Program. In this study, the process of real-time schedule progress control system using the integrated database by 3D-CAD object information system and schedule module is presented. This study present the process of a schedule progress management using UML, and the process of real-time schedule progress management using RFID system. Through this study, we want to realize the rapid generation of estimated schedule information and to simulate and analyze actual schedule information by real-time.

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A Study on the Ontology-based Design Process Modeling (온톨로지 기반 설계 프로세스 모델링에 관한 연구)

  • Kim J.K.;Kang M.
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.10a
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    • pp.632-636
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    • 2005
  • Design process model represents how a design project proceeds. It encompasses the individual activities of design, their precedence relationships, and the relevant information related to each activity. In contrast to the conventional visual representation methods, ontology-based process model is machine-readable, and therefore it can be implemented in a software system without repeating the whole steps of coding, compiling and link. This paper proposes a framework for design process ontology that defines the relevant objects and attributes in the design process as well as the relationships between them. An example for injection mold design process is shown to explain the substance of the design process model.

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Deep Learning based Sentence Analysis for Query Generation (검색어 생성을 위한 딥 러닝 기반 문장 분석 연구)

  • Na, Seong-Won;Yoon, Kyoungro
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2018.06a
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    • pp.336-337
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    • 2018
  • 최근 이미지의 Visual 정보를 추출하고 Multi label 분류를 통해 나온 결과의 상관관계를 modeling하여 문장으로 출력하는 CNN-RNN 아키텍처가 많은 발전을 이뤘다. 이 아키텍처의 출력은 이미지의 정보가 요약되어 문장으로 표현되기 때문에 Semantic정보가 풍부하여 유사 콘텐츠 검색에도 사용 가능하다. 하지만 결과 문장에 사람이 포함 되면 광범위한 검색 결과를 얻게 되고 부정확한 결과를 초래하게 된다. 이에 본 논문에서는 문장에서 사람을 인식하여 Identity를 부여함으로써 검색어를 좀 더 구체적으로 생성하고자 한다. 이 문제를 해결하기 위해 자연어 처리의 분야 중 하나인 개체명 인식(Named Entity Recognition) 문제로 다루며, 가장 많이 사용되고 있는 모델인 Bidirectional-LSTM-CRF와 CoNLL2003 dataset을 사용하여 수행 한다.

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Surface Model and Scattering Analysis for Realistic Game Character

  • Kim, Seongdong;Lee, Myounjae
    • Journal of Korea Game Society
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    • v.21 no.4
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    • pp.109-116
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    • 2021
  • In this paper, we considered that recently 3D game characters have been almost alike realistic expression because of a great mathematical computation and efficient techniques on GPU hardware. We presented the rendering technique and analysis for 3D game characters to simulate and render mathematical approach model from recent researches to perform the game engine for the surface reflection of lighting model. We compare our approach with the existing variant rendering techniques here using Open GL shader language on game engine. The experimental result will be provided the view-dependent visual appearance of variant and effective modeling characters for realistic expression using existing methods on the GPU for effective simulations and rendering process. Since there are many operations that are used redundantly while performing mathematical operations, the necessary functions and requirements have been to compute in advance.

A Study on the Effective Preprocessing Methods for Accelerating Point Cloud Registration

  • Chungsu, Jang;Yongmin, Kim;Taehyun, Kim;Sunyong, Choi;Jinwoo, Koh;Seungkeun, Lee
    • Korean Journal of Remote Sensing
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    • v.39 no.1
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    • pp.111-127
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    • 2023
  • In visual slam and 3D data modeling, the Iterative Closest Point method is a primary fundamental algorithm, and many technical fields have used this method. However, it relies on search methods that take a high search time. This paper solves this problem by applying an effective point cloud refinement method. And this paper also accelerates the point cloud registration process with an indexing scheme using the spatial decomposition method. Through some experiments, the results of this paper show that the proposed point cloud refinement method helped to produce better performance.

Virtual reality application on MFL gas pipeline inspection system

  • Kim, Jae-Joon
    • Journal of Korea Society of Industrial Information Systems
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    • v.15 no.4
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    • pp.47-52
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    • 2010
  • This paper describes a visualization technique that animates geometrical defect data that are extracted using a magnetic flux leakage (MFL) operating system on nondestructive evaluation (NDE). Since data are collected from different locations and often not regular, the data must be converted to the standard format that is used within the pipeline in visualization procedures. In order to navigate inside of the pipeline, 3D virtual objects are generated and are able to explore the pipeline continuously. The major objectives of this paper are to characterize, generate general shape of defects, and enable computer interaction in virtual environment. Pipeline navigation system (PNS) has introduced the framework for interactive visual applications based upon the principles of modeling 3D objects. PNS presents some preliminary efforts to enable the user to interact human and computer with each other.

A Study on Top Modeling for Artificial Intelligence Training (인공지능 학습을 위한 탑 모델링 제작에 대한 연구)

  • Young-Chae Park;Sang Hwa Lee;Byong-kwon Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.521-524
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    • 2023
  • 본 연구에서는 AI 인공지능을 활용한 통일신라 석탑 '경주 불국사 삼층석탑' 복원을 위해 석탑 3D모델링 과정에 대한 연구를 수행하였다. 산성비로 부식되어 갈라진 더 이상 원본의 형태를 알아 볼 수 없는 현재 통일신라 석탑 형태를 3D모델링 작업을 통하여 AI로 하여금 원활한 교육이 실시 되도록 하는 것을 목표로한다. 본래 제작 되어있는 3D 모델링은 많은 버텍스와 페이스로 학습 데이터가 많아 실제 활용하기에 어려움을 가지고 있다. 때문에 적은 양의 버텍스와 페이스로 새로운 3D 모델링 제작에 대한 필요성에 대해 확인하였다. 본 연구는 그에 필요한 석탑 모델링 과정에 대해 서술한다. 이를 위해 본 논문은 석탑에 대한 구조를 살피고 모델링에 활용된 프로그램의 장단점과 분석을 도출하였다. 본 연구를 통해 석탑 복원에 필요한 3D모델링 프로그램 활용의 전망과 더불어 인공지능 AI의 한계점을 3D 모델링의 정확도와 세밀함을 통하여 타파하고자 하였다.

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Voice Activity Detection using Motion and Variation of Intensity in The Mouth Region (입술 영역의 움직임과 밝기 변화를 이용한 음성구간 검출 알고리즘 개발)

  • Kim, Gi-Bak;Ryu, Je-Woong;Cho, Nam-Ik
    • Journal of Broadcast Engineering
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    • v.17 no.3
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    • pp.519-528
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    • 2012
  • Voice activity detection (VAD) is generally conducted by extracting features from the acoustic signal and a decision rule. The performance of such VAD algorithms driven by the input acoustic signal highly depends on the acoustic noise. When video signals are available as well, the performance of VAD can be enhanced by using the visual information which is not affected by the acoustic noise. Previous visual VAD algorithms usually use single visual feature to detect the lip activity, such as active appearance models, optical flow or intensity variation. Based on the analysis of the weakness of each feature, we propose to combine intensity change measure and the optical flow in the mouth region, which can compensate for each other's weakness. In order to minimize the computational complexity, we develop simple measures that avoid statistical estimation or modeling. Specifically, the optical flow is the averaged motion vector of some grid regions and the intensity variation is detected by simple thresholding. To extract the mouth region, we propose a simple algorithm which first detects two eyes and uses the profile of intensity to detect the center of mouth. Experiments show that the proposed combination of two simple measures show higher detection rates for the given false positive rate than the methods that use a single feature.