• Title/Summary/Keyword: Image-based Modeling

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Web-based 3D Face Modeling System (웹기반 3차원 얼굴 모델링 시스템)

  • 김응곤;송승헌
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.5 no.3
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    • pp.427-433
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    • 2001
  • This paper proposes a web-based 3 dimensional face modeling system that makes a realistic facial model efficiently without any 30 scanner or camera that uses in the traditional methods. Without expensive image-input equipments, we can easily create 3B models only using front and side images. The system is available to make 3D facial models as we connect to the facial modeling server on the WWW which is independent from specific platforms and softwares. This system will be implemented using Java 3D API, which includes the functions and conveniences of developed graphic libraries. It is a Client/server architecture which consists of user connection module and 3D facial model creating module. Clients connect with the facial modeling server, input two facial photographic images, detects the feature points, and then create a 3D facial model modifying generic facial model with the points according to the procedures using only the web browser.

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Adaptive Image Watermarking Using a Stochastic Multiresolution Modeling

  • Kim, Hyun-Chun;Kwon, Ki-Ryong;Kim, Jong-Jin
    • Proceedings of the IEEK Conference
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    • 2002.07a
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    • pp.172-175
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    • 2002
  • This paper presents perceptual model with a stochastic rnultiresolution characteristic that can be applied with watermark embedding in the biorthogonal wavelet domain. The perceptual model with adaptive watermarking algorithm embed at the texture and edge region for more strongly embedded watermark by the SSQ(successive subband quantization). The watermark embedding is based on the computation of a NVF(noise visibility function) that have local image properties. This method uses non-stationary Gaussian model stationary Generalized Gaussian model because watermark has noise properties. In order to determine the optimal NVF, we consider the watermark as noise. The particularities of embedding in the stationary GG model use shape parameter and variance of each subband regions in multiresolution. To estimate the shape parameter, we use a moment matching method. Non-stationary Gaussian model use the local mean and variance of each subband. The experiment results of simulation were found to be excellent invisibility and robustness. Experiments of such distortion are executed by Stirmark benchmark test.

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VHDL modeling of a real-time system for image enhancement (향상된 영상 획득을 위한 실시간 시스템의 VHDL 모델링)

  • Oh, Se-Jin;Kim, Young-Mo
    • Proceedings of the IEEK Conference
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    • 2005.11a
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    • pp.509-512
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    • 2005
  • The aim of this work is to design a real-time reusable image enhancement architecture for video signals, based on a spatial processing of the video sequence. The VHDL hardware description language has been used in order to make possible a top-down design methodology. By adding proposed algorithms to the LPR(License Plate Recognition) system, the system is implemented with reliability and safety on a rainy day. Spartan-2E XC2s300E is used as implementation platforms for real-time system.

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A Alternative Background Modeling Method for Change Detection (영상차이를 이용한 움직임 검출에 필요한 배경영상 모델링 및 갱신 기법 연구)

  • Chang, Il-Kwon;Kim, Kyoung-Jung;Kim, Eun-Tai;Park, Mig-Non
    • Proceedings of the KIEE Conference
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    • 2004.11c
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    • pp.159-161
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    • 2004
  • Many motion object detection algorithms rely on the process of background subtraction, an important technique that is used for detecting changes from a model of the background scene. This paper propose a novel method to update the background model image of a visual surveillance system which is not stationary. In order to do this, we use a background model based on statistical qualities of monitored images and another background model that excluded motions. By comparing each changed area computed from the two background model images and current monitored image, the areas that will be updated are decided.

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3D Modeling of Building Sides from the Stereo Images for the Realistic Virtual City in 3D GIS

  • Chung, Yun-Koo;Kim, Kyung-Ok;Han, Joon-Hee
    • Proceedings of the KSRS Conference
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    • 1999.11a
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    • pp.70-74
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    • 1999
  • Remote sensing (RS) data show the surfaces of the earth only but cannot provide the shape data of building sides. The proposed method recovers a 3D shape of building sides from stereo images. Its result shows a higher possibility for recovering a large shaped object by overcoming the difficulties of traditional stereo matching techniques. The urban area will be visualized more realistically than the current model based on graphic and vector data.

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Effective Model Management Approach to Multimedia Decision Support Systems (멀티미디어 의사결정지원시스템 구축을 위한 효율적 모형관리기법에 관한 연구)

  • Kwon, O-Byung
    • Asia pacific journal of information systems
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    • v.11 no.2
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    • pp.181-203
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    • 2001
  • As the Internet is used extensively, multimedia information becomes more prevailing and accessible. However, legacy decision support systems rarely mention how to put such multimedia contents into practical use for decision making and support. In particular, no proposals have yet been made on how to integrate the decision technologies and multimedia databases in model management systems. Hence, the aim of this paper is to propose a new model management method to integrating decision technologies and an image database management system to create a multimedia decision support. For this purpose, extended ARG and structured modeling techniques are adopted, to represent image contents and mathematical models respectively. A web-based prototype system is presented to illustrate the feasibility and usability of the methodology.

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A Path tracking algorithm and a VRML image overlay method (VRML과 영상오버레이를 이용한 로봇의 경로추적)

  • Sohn, Eun-Ho;Zhang, Yuanliang;Kim, Young-Chul;Chong, Kil-To
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.907-908
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    • 2006
  • We describe a method for localizing a mobile robot in its working environment using a vision system and Virtual Reality Modeling Language (VRML). The robot identifies landmarks in the environment, using image processing and neural network pattern matching techniques, and then its performs self-positioning with a vision system based on a well-known localization algorithm. After the self-positioning procedure, the 2-D scene of the vision is overlaid with the VRML scene. This paper describes how to realize the self-positioning, and shows the overlap between the 2-D and VRML scenes. The method successfully defines a robot's path.

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Reconstruction of 3D Virtual Reality Using Depth Information of Stereo Image (스테레오 영상에서의 깊이정보를 이용한 3D 가상현실 구현)

  • Lee, S.J.;Kim, J.H.;Lee, J.W.;Ahn, J.S.;Lee, D.J.;Lee, M.H.
    • Proceedings of the KIEE Conference
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    • 1999.07g
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    • pp.2950-2952
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    • 1999
  • This paper presents the method of 3D reconstruction of the depth information from the endoscopic stereo scopic images. After camera modeling to find camera parameters, we performed feature-point based stereo matching to find depth information. Acquired some depth information is finally 3D reconstructed using the NURBS(Non Uniform Rational B-Spline) method and OpenGL. The final result image is helpful for the understanding of depth information visually.

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2D X-ray Image Segmentation for 3D Image-based Bone Modeling (3차원 뼈 모델링을 위한 2차원 X-ray 영상 분할)

  • Jung, Jun Young;Choi, Ick Chang;Yun, Byoung-Ju;Kim, Hyun Deok
    • Annual Conference of KIPS
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    • 2013.05a
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    • pp.323-324
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    • 2013
  • 본 논문에서는 2차원 X-ray 영상을 이용하여 3차원 영상을 얻기 위한 전처리 과정으로 2차원 X-ray 영상에서 원하는 뼈 영상을 분할하기 위한 능동적 대퇴골 분할 기법에 대해 제안하고 구현하였다. X-ray 영상의 주된 화질 저하 요인인 잡음을 제거하고 에지 및 밝기 검출을 통하여 정확하고 빠른 뼈 영상 분할 기법을 구현하였고 대퇴골 영상을 통해 검증하였다. 이를 통해 최소한의 2차원 X-ray 영상을 이용하여 3차원 뼈 모델링을 구현하는데 필요한 뼈 영상을 획득하였다.

Application Possibility of Control Points Extracted from Ortho Images and DTED Level 2 for High Resolution Satellite Sensor Modeling (정사영상과 DTED Level 2 자료에서 자동 추출한 지상기준점의 IKONOS 위성영상 모델링 적용 가능성 연구)

  • Lee, Tae-Yoon;Kim, Tae-Jung;Park, Wan-Yong
    • Journal of Korean Society for Geospatial Information Science
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    • v.15 no.4
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    • pp.103-109
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    • 2007
  • Ortho images and Digital Elevation Model (DEM) have been applied in various fields. It is necessary to acquire Ground Control Points (GCPs) for processing high resolution satellite images. However surveying GCPs require many time and expense. This study was performed to investigate whether GCPs automatically extracted from ortho images and DTED Level 2 can be applied to sensor modeling for high resolution satellite images. We analyzed the performance of the sensor model established by GCPs extracted automatically. We acquired GCPs by matching satellite image against ortho images. We included the height acquired from DTED Level 2 data in these GCPs. The spatial resolution of the DTED Level 2 data is about 30m. Absolution accuracy of this data is below 18m above MSL. The spatial resolution of ortho image is 1m. We established sensor model from IKONOS images using GCPs extracted automatically and generated DEMs from the images. The accuracy of sensor modeling is about $4{\sim}5$ pixel. We also established sensor models using GCPs acquired based on GPS surveying and generated DEMs. Two DEMs were similar. The RMSE of height from the DEM by automatic GCPs and DTED Level 2 is about 9 m. So we think that GCPs by DTED Level 2 and ortho image can use for IKONOS sensor modeling.

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