• Title/Summary/Keyword: Projective Texture Mapping

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Specification and Implementation of Projective Texturing Node in X3D

  • Kim, In-Kwon;Jang, Ho-Wook;Yoo, Kwan-Hee;Ha, Jong-Sung
    • International Journal of Contents
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    • v.12 no.2
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    • pp.1-5
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    • 2016
  • Extensible 3D (X3D) is the ISO standard for defining 3D interactive web- and broadcast-based 3D content integrated with multimedia. With the advent of this integration of interactive 3D graphics into the web, users can easily produce 3D scenes within web contents. Even though there are diverse texture nodes in X3D, projective textures are not provided. We enable X3D to provide SingularProjectiveTexture and MultiProjectiveTexture nodes by materializing independent nodes of projector nodes for a singular projector and multi-projector. Our approach takes the creation of an independent projective texture node instead of Kamburelis's method, which requires inconvenient and duplicated specifications of two nodes, ImageTexture and Texture Coordinate.

Coordinate Determination for Texture Mapping using Camera Calibration Method (카메라 보정을 이용한 텍스쳐 좌표 결정에 관한 연구)

  • Jeong K. W.;Lee Y.Y.;Ha S.;Park S.H.;Kim J. J.
    • Korean Journal of Computational Design and Engineering
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    • v.9 no.4
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    • pp.397-405
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    • 2004
  • Texture mapping is the process of covering 3D models with texture images in order to increase the visual realism of the models. For proper mapping the coordinates of texture images need to coincide with those of the 3D models. When projective images from the camera are used as texture images, the texture image coordinates are defined by a camera calibration method. The texture image coordinates are determined by the relation between the coordinate systems of the camera image and the 3D object. With the projective camera images, the distortion effect caused by the camera lenses should be compensated in order to get accurate texture coordinates. The distortion effect problem has been dealt with iterative methods, where the camera calibration coefficients are computed first without considering the distortion effect and then modified properly. The methods not only cause to change the position of the camera perspective line in the image plane, but also require more control points. In this paper, a new iterative method is suggested for reducing the error by fixing the principal points in the image plane. The method considers the image distortion effect independently and fixes the values of correction coefficients, with which the distortion coefficients can be computed with fewer control points. It is shown that the camera distortion effects are compensated with fewer numbers of control points than the previous methods and the projective texture mapping results in more realistic image.

Adjustment of texture image for construction of a 3D virtual city (3D 가상도시 구축을 위한 건물 텍스쳐 이미지의 왜곡보정)

  • Kim, Sung-Su;Kim, Byung-Guk
    • Journal of Korean Society for Geospatial Information Science
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    • v.10 no.2 s.20
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    • pp.49-56
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    • 2002
  • Many users of 3D virtual city are Utilize a texture image for the cognition of real object. In this study, building's facet images were achieved by a digital camera and adjusted its distortion by use of the 2D projective transformation method. After then, Images are mapped to a 3D building model by means of the OpenGL. Application program is able to offer an automation solution to construction process of the 3D virtual city.

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Realistic 3D Scene Reconstruction from an Image Sequence (연속적인 이미지를 이용한 3차원 장면의 사실적인 복원)

  • Jun, Hee-Sung
    • The KIPS Transactions:PartB
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    • v.17B no.3
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    • pp.183-188
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    • 2010
  • A factorization-based 3D reconstruction system is realized to recover 3D scene from an image sequence. The image sequence is captured from uncalibrated perspective camera from several views. Many matched feature points over all images are obtained by feature tracking method. Then, these data are supplied to the 3D reconstruction module to obtain the projective reconstruction. Projective reconstruction is converted to Euclidean reconstruction by enforcing several metric constraints. After many triangular meshes are obtained, realistic reconstruction of 3D models are finished by texture mapping. The developed system is implemented in C++, and Qt library is used to implement the system user interface. OpenGL graphics library is used to realize the texture mapping routine and the model visualization program. Experimental results using synthetic and real image data are included to demonstrate the effectiveness of the developed system.

Realtime Video Visualization based on 3D GIS (3차원 GIS 기반 실시간 비디오 시각화 기술)

  • Yoon, Chang-Rak;Kim, Hak-Cheol;Kim, Kyung-Ok;Hwang, Chi-Jung
    • Journal of Korea Spatial Information System Society
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    • v.11 no.1
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    • pp.63-70
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    • 2009
  • 3D GIS(Geographic Information System) processes, analyzes and presents various real-world 3D phenomena by building 3D spatial information of real-world terrain, facilities, etc., and working with visualization technique such as VR(Virtual Reality). It can be applied to such areas as urban management system, traffic information system, environment management system, disaster management system, ocean management system, etc,. In this paper, we propose video visualization technology based on 3D geographic information to provide effectively real-time information in 3D geographic information system and also present methods for establishing 3D building information data. The proposed video visualization system can provide real-time video information based on 3D geographic information by projecting real-time video stream from network video camera onto 3D geographic objects and applying texture-mapping of video frames onto terrain, facilities, etc.. In this paper, we developed sem i-automatic DBM(Digital Building Model) building technique using both aerial im age and LiDAR data for 3D Projective Texture Mapping. 3D geographic information system currently provide static visualization information and the proposed method can replace previous static visualization information with real video information. The proposed method can be used in location-based decision-making system by providing real-time visualization information, and moreover, it can be used to provide intelligent context-aware service based on geographic information.

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