• Title/Summary/Keyword: 시각객체

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Effective 3D Object Selection Interface in Non-immersive Virtual Environment (비몰입형 가상환경에서 효과적인 3D객체선택 인터페이스)

  • 한덕수;임윤호;최윤철;임순범
    • Journal of Korea Multimedia Society
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    • v.6 no.5
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    • pp.896-908
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    • 2003
  • Interaction technique in .3D virtual environment is a decisive factor that affects the immersion and presence felt by users in virtual space. Especially, in fields that require exquisite manipulation of objects such as electronic manuals in desktop environment, interaction technique that supports effective and natural manipulation of object is in demand. In this paper, 3D scene graph can be internally divided and reconstructed to a list defending on the users selection and through moving focus among the selection candidate objects list, the user can select 3D object more accurately Also, by providing various feedbacks for each manipulation stage, more effective manipulation is possible. The proposed technique can be used as 3D user interface in areas that require exquisite object manipulation.

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Vision Perception based on Distance Comparison for Autonomous Agent (거리 비교를 기반으로 한 자율 에이전트의 시각 인식 방법)

  • Jung Keun-Jae;Kwon Jeong-Woo;Park Jong-Hee
    • Proceedings of the Korean Information Science Society Conference
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    • 2006.06b
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    • pp.202-204
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    • 2006
  • 에이전트는 각 분야에서 다양하게 정의되고 해석되어진다. 자율 에이전트는 인간의 의해 지배되어지는 캐릭터처럼 컴퓨터에 의해 제어된다. 또한 에이전트는 다양한 행동을 할 수 있고 다른 캐릭터들과 사회관계를 만들 수도 있다. 가상 환경에서 자율 에이전트는 센서를 통해서 외부 환경에 대한 정보를 지각하여 획득한 정보를 이용하여 추론 등의 방법을 통해 자율적으로 새로운 정보와 행동들을 생성한다. 그러나 이전의 연구에서는 동작 생성기에 의해 만들어진 움직임들의 통할만 이루어지는 에이전트였다. 또한 에이전트는 에이전트와 객체간의 거리에 따라 지각되어지는 정보는 같고, 거리에 따라 객체의 크기를 지각하여 구별 할 수 없다. 크기가 다른 객체들에 대해서 자율 에이전트는 같은 거리에서 지각하여 정보를 획득한다는 문제점 있다. 자율 에이전트는 크기가 큰 객체일 때는 먼 거리에서도, 지각 할 수 있다. 하지만 크기가 작은 객체들은 가까운 거리에서 지각 할 수 있다. 즉 크기가 다양한 객체를 자율 에이전트가 지각 할 수 있는 거리는 다르기 때문이다. 따라서 본 논문에서는 이러한 문제점을 해결하기 위해 자율 에이전트의 구조와 레벨을 이용한 방법을 제안한다.

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Image Segmentation Algorithm for Fish Object Extraction (어류객체 추출을 위한 영상분할 알고리즘)

  • Ahn, Soo-Hong;Oh, Jeong-Su
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.14 no.8
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    • pp.1819-1826
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    • 2010
  • This paper proposes the image segmentation algorithm to extracts a fish object from a fish image for fish image retrieval. The conventional algorithm using gray level similarity causes wrong image segmentation result in the boundary area of the object and the background with similar gray level. The proposed algorithm uses the reinforced edge and the adaptive block-based threshold for the boundary area with weak contrast and the virtual object to improve the eroded or disconnected object in the boundary area without contrast. The simulation results show that the percentage of extracting the visual-fine object from the test images is under 90% in the conventional algorithm while it is 97.7% in the proposed algorithms.

A Study on the Traceability Mechanism based on Ontology (온톨로지 기반의 추적 메커니즘에 관한 연구)

  • Nam, Swoong-Hwan;Lim, Jae-Hyun;Kim, Chi-Su
    • Proceedings of the KAIS Fall Conference
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    • 2008.05a
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    • pp.209-211
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    • 2008
  • 기술의 빠른 발전은 하드웨어와 소프트웨어의 다양한 결합방법으로 산업시스템을 정보기반 모델로 변경하고 있다. 엔지니어링시스템이 복잡해짐으로서 시스템의 에러를 줄이기 위한 다양한 시각화 모델 표현이 요구되고 연결관계를 구현하기위한 노력이 필요하다. 본 논문에서는 요구사항과 엔지니어링객체 사이에 추적고리로 디자인 컨셉을 삽입하여 외부 사용자 이벤트에 반응하고 추적고리를 설치하기 위한 시각적이고 효과적인 방법을 연구한다.

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An Automatic Object Extraction Method Using Color Features Of Object And Background In Image (영상에서 객체와 배경의 색상 특징을 이용한 자동 객체 추출 기법)

  • Lee, Sung Kap;Park, Young Soo;Lee, Gang Seong;Lee, Jong Yong;Lee, Sang Hun
    • Journal of Digital Convergence
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    • v.11 no.12
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    • pp.459-465
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    • 2013
  • This paper is a study on an object extraction method which using color features of an object and background in the image. A human recognizes an object through the color difference of object and background in the image. So we must to emphasize the color's difference that apply to extraction result in this image. Therefore, we have converted to HSV color images which similar to human visual system from original RGB images, and have created two each other images that applied Median Filter and we merged two Median filtered images. And we have applied the Mean Shift algorithm which a data clustering method for clustering color features. Finally, we have normalized 3 image channels to 1 image channel for binarization process. And we have created object map through the binarization which using average value of whole pixels as a threshold. Then, have extracted major object from original image use that object map.

New Visualization Scheme of Station Unit in IEC61850-based Substation (IEC61850기반의 스테이션장치에서의 새로운 시각화기법)

  • Rim, Seong-Jeong;Kim, Tae-Wan;Zeng, ShengWu;Lee, Seung-Jae
    • Proceedings of the KIEE Conference
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    • 2007.07a
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    • pp.19-20
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    • 2007
  • 본 논문은 IEC61850기반 변전소자동화시스템의 스테이션 장치에서의 새로운 시각화 기법을 제안하였다. 제안한 시각화 기법은 변전소 구성언어(SCL)을 사용하여 단선도, 통신도를 자동적으로 표시하고 기능도와 신호 흐름도를 표시하는 기능을 포함한다. 단선도에 표시되는 객체의 상태, 측정값의 표시와 제어 및 설정값 변경의 기능은 IEC61850 통신모듈에 의하여 수행한다. IEC61850의 새로운 특징에 의하여 쉽게 구현 가능한 기능을 포함한 시각화기법은 IEC61850기반 변전소자동화 데모시스템의 구현을 통하여 그 유용성을 입증하였다.

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Object Detection for the Visually Impaired in a Voice Guidance System (시각장애인을 위한 보행 안내 시스템의 객체 인식)

  • Soo-Yeon Son;Eunho-Jeong;Hyon Hee Kim
    • Proceedings of the Korea Information Processing Society Conference
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    • 2023.11a
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    • pp.1206-1207
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    • 2023
  • 보행의 제한은 시각장애인의 자립적인 생활을 어렵게 하며 안전에도 큰 영향을 끼친다. 본 논문은 YOLOv5(You Only Look Once version 5)를 활용하여 안전한 보행을 돕는 방법을 제시한다. 제시하는 방법은 자동차나 자전거, 전동킥보드 등의 움직이는 사물과 사람을 실시간으로 인식하여 시각장애인에게 알림으로써 보행에 도움을 줄 수 있으며 시각장애인의 안전한 보행에 도움을 줄 것이라 기대한다.

DECODE: A Novel Method of DEep CNN-based Object DEtection using Chirps Emission and Echo Signals in Indoor Environment (실내 환경에서 Chirp Emission과 Echo Signal을 이용한 심층신경망 기반 객체 감지 기법)

  • Nam, Hyunsoo;Jeong, Jongpil
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.21 no.3
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    • pp.59-66
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    • 2021
  • Humans mainly recognize surrounding objects using visual and auditory information among the five senses (sight, hearing, smell, touch, taste). Major research related to the latest object recognition mainly focuses on analysis using image sensor information. In this paper, after emitting various chirp audio signals into the observation space, collecting echoes through a 2-channel receiving sensor, converting them into spectral images, an object recognition experiment in 3D space was conducted using an image learning algorithm based on deep learning. Through this experiment, the experiment was conducted in a situation where there is noise and echo generated in a general indoor environment, not in the ideal condition of an anechoic room, and the object recognition through echo was able to estimate the position of the object with 83% accuracy. In addition, it was possible to obtain visual information through sound through learning of 3D sound by mapping the inference result to the observation space and the 3D sound spatial signal and outputting it as sound. This means that the use of various echo information along with image information is required for object recognition research, and it is thought that this technology can be used for augmented reality through 3D sound.

The Application and Analysis of the Embedded Programming Education Based on UML and LabVIEW OOP (UML과 LabVIEW OOP를 기반으로 한 내장형 프로그래밍 교육의 적용 방안 및 분석)

  • Jung, Deok-Gil;Jung, Min-Po;Cho, Hyuk-Gyu;Lho, Young-Uhg
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.3
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    • pp.708-714
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    • 2015
  • The students who learn the computer languages think it very difficult to program using the text-based programming languages and also to learn the object-oriented programming. Therefore, we introduce the object-oriented visual programming into the programming education. And, to solve the this problem in the programming education, in this paper, we introduce the UML to support the object-oriented modeling and to teach the students using the LabVIEW OOP that supports the object-oriented visual programming. And, we propose to apply it on the embedded programming education. Also, we analyze the educational effect of the proposed education methodology of programming based on the student survey.

Development of a Web Service Generation System Using Virtual Environments (가상공간을 이용한 웹 서비스 생성 시스템 개발)

  • Park Chang-Keun;Lee Myeong Won
    • Journal of Internet Computing and Services
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    • v.4 no.1
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    • pp.27-37
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    • 2003
  • This paper presents the Web service generation system using virtual environments and databases. Main features include that the environments and databases are generated and maintained correspondingly. It means that the virtual environments are changed automatically if the databases are updated, and also that the databases are maintained accordingly as the information about the environments are modified at the scene End users can modify the property of the virtual environments in the scene directly using the VRML edit interface, which visualizes the structures of virtual environments. Each object can be accessed through the VRML editor, its property be modified directly, and the information is updated in the database automatically. Web service pages are maintained accordingly. In addition, we define a texture mapping method based on weighted view interpolation using 2 photo images for a scene. A texture mapping interface Is also provided for end users to generate realistic images themselves.

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