期刊文献+

全局光照环境中的逆向绘制 被引量:5

Inverse Rendering in a Global Illuminated Environment
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摘要 提出一种恢复场景中所有物体的反射特性的方法.算法以一个全景图、场景的完整几何模型和光源信息为输入,结果是场景的一个完整反射模型.恢复是以逐步求精的方式进行的.先假定物体表面是漫反射面并生成一幅全景图,然后算法逐步迭代,比较绘制的全景图和原始全景图,如果有的物体的误差超过某个阈值,算法为 他们选择更负责的反射模型.最后,场景中的每个物体有了一个合适的反射模型,可以在新的光照和视点条件下绘制,旧的物体可以从场景中移去,新的物体可以添加到场景中.对漫反射、各向同性反射和各向异性反射纹理面的纹理恢复也作了深入研究;高光和阴影的影响也能基本去除. A method is proposed to recover the reflectance properties of all objects in an environment. The input of the algorithm is a 3D geometric model of the scene, a panorama of it, and the information of light sources. The result is a full model of the reflectance properties of the scene. Recovery is done in a progressive refinement manner. At the very beginning, supposes all surfaces are diffuse and generates a new panorama. Then the new rendered panorama and the original one are compared iteratively. If the differences of some objects are greater than a threshold, more complex reflectance models are chosen for them. Finally, each object in the scene has a proper reflectance model. The scene can be rendered under novel lighting or viewing conditions, old objects can be removed from the scene, and new objects can be augmented into the scene. Special efforts have been done on recovering textures of textured diffuse, isotropic, and anisotropic surfaces; shadows and highlights are eliminated almost clearly.
出处 《软件学报》 EI CSCD 北大核心 2003年第10期1796-1805,共10页 Journal of Software
基金 国家自然科学基金 澳门大学基金资助项目~~
关键词 逆向绘制 全局光照 全景图 反射模型 增强现实 纹理 Image processing Light reflection Optimization Textures Virtual reality
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参考文献11

  • 1Yu Y, Malik J. Recovering photometric properties of architectural scenes from photographs. In: Cohen M, ed. Proceedings of the SIGGRAPH'98. New York: ACM Press, 1998.
  • 2Lensch H, Kautz J, Goesele M, Heidrich W, Seidel H. Image-Based reconstruction of spatially varying materials. In: Gortler S J,Myszkowski K, eds. Proceedings of the Eurographics Workshop on Rendering. Vienna: Springer-Verlag, 2001.71 -82.
  • 3Nishino K, Zhang Z, Ikeuchi K. Determining reflectance parameters and illumination distribution from a sparse set images for view-dependent image synthesis. In: Proceedings of the International Conference on Computer Vision. 2001.http://www.cvl.iis.u-tokyo.ac.jp/-kon/publication/KNishino-ICCV01 .pdf.
  • 4Ramamoorthi R, Hanrahan P. A signal-processing framework for inverse rendering. In: Fiume E, ed. Proceedings of the SIGGRAPH 2001. New York: ACM Press, 2001. 117-128.
  • 5Debevec P. Rendering synthetic objects into scenes: Bridging traditional and image-based graphics with global illumination and high dynamic range photography. In: Cohen M, ed. Proceedings of the SIGGRAPH'98. New York: ACM Press, 1998. 189-198.
  • 6Drettakis G, Robert L, Bougnoux S. Interactive common illumination for computer augmented reality. In: Slusallek D, ed.Rende4ing Techniques'97, the 8th Eurographics Workshop on Rende4ing. Vienna: Springer-Verlag, 1997. 45-56.
  • 7Loscos C, Frasson M-C, Drettakis G, Walte B, Granier X, Poulin P. Interactive virtual relighting and remodeling of real scenes. In:Lischinski D, Ward-Larsen G, eds. Rendering Techniques'99, the 10th Eurographics Workshop on Rendering'99. Vienna: Springer Verlag, 1999.
  • 8Yu Y, Debevec P, Malik J. Inverse global illumination: Recover reflectance models of real scenes from photographs. In: Rockwood A, ed. Proceedings of the SIGGRAPH'99. New York: ACM Press, 1999. 215-224.
  • 9Fournier A, Guawan A, Romanzin C. Common illumination between real and computer generated scenes. In: Proceedings of the Graphics Interface'93. Morgan Kaufmann Publishers, 1993. 254-262. http://www.iro.umontrenl.ca/-poulin/fournier/papers.html.
  • 10Loscos C, Drcttalds G, Robert L. Interactive virtual relighting of real scenes. IEEE Transactions on Visualization and Computer Graphics, 2000,6(4):289-305.

同被引文献27

  • 1刘钢,彭群生,鲍虎军.基于图像建模技术研究综述与展望[J].计算机辅助设计与图形学学报,2005,17(1):18-27. 被引量:57
  • 2卜海亮,孙延奎,唐泽圣.复杂环境光照下的半透明材质恢复算法[J].计算机辅助设计与图形学学报,2006,18(5):638-643. 被引量:3
  • 3Xu S,Wallace A M.Recovering surface reflectance andmultiple light locations and intensities from image data[J].Pattern Recognition Letters,2008,29(11):1639 1647
  • 4Li Y Z,Lin S,Kang S B,et al.Single-image reflectanceestimation for relighting by iterative soft grouping[C]??Proceedings of the 10th Pacific Conference on ComputerGraphics and Applications.Los Alamitos:IEEE ComputerSociety Press,2002:483 486
  • 5Matsushita Y,Lin S,Kang S B,et al.Estimating intrinsicimages from image sequences with biased illumination[M]??Lecture Notes in Computer Science.Heidelberg:Springer,2004,3022:274 286
  • 6Ramamoorthi R,Hanrahan P.On the relationship betweenradiance and irradiance:determining the illumination fromimages of a convex Lambertian object[J].Journal of theOptical Society of America A:Optics and Image Science,andVision,2001,18(10):2448 2459
  • 7Vogiatzis G,Favaro P,Cipolla R.Using frontier points torecover shape,reflectance and illumination[C]??Proceedingsof IEEE International Conference on Computer Vision.LosAlamitos:IEEE Computer Society Press,2005:228 235
  • 8Farenzena M,Fusiello A.Recovering intrinsic images usingan illumination invariant image[C]??Proceedings of IEEEInternational Conference on Image Processing.Piscataway:IEEE Computer Society Press,2007:III485III488
  • 9Tappen M F,Adelson E H,Freeman W T.Estimatingintrinsic component images using non-linear regression[C]??Proceedings of IEEE Conference on Computer Vision andPattern Recognition.Los Alamitos:IEEE Computer SocietyPress,2006:1992 1999
  • 10Weiss Y.Deriving intrinsic images from image sequences[C]??Proceedings of the 8th IEEE International Conferenceon Computer Vision.Los Alamitos:IEEE Computer SocietyPress,2001:68 75

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