期刊文献+

基于Phong模型的明暗恢复形状的新算法 被引量:2

A new shape-from-shading algorithm based on Phong model
下载PDF
导出
摘要 针对传统的混合表面形状恢复算法存在较大误差的问题,提出一种透视投影下从单幅图像混合表面明暗信息恢复形状的新算法。采用Phong反射模型来描述物体表面反射特性,假设光源处于相机的光心处,建立透视投影下的图像辐照度方程。然后由辐照度方程构造包含物体深度信息的HamiltonJacobi偏微分方程,引入局部高阶LLF通量分裂格式和五阶WENO格式逼近微分方程的粘性解,最终得到物体表面三维形状。实验结果表明,与传统算法相比,新算法的恢复高度的最大误差和平均误差均显著降低。 Focusing on the big error in traditional Shape-From-Shading(SFS)algorithms for hybrid surfaces,a new SFS algorithm for a single image under hybrid surfaces based on perspective projection is proposed.In this paper,the Phong reflection model is used to describe the reflectance property of the surfaces.Assuming that the light source is located at the camera’s optical center,the image irradiance equation is established for this model.Then,the image irradiance equation is transformed into the Ham-ilton-Jacobi Partial Differential Equation(PDE)including the shape information of the surfaces.Using the high-order Lax-Friedrichs(LLF)flux splitting scheme and five-order Weighted Essentially Non-〇s-cillatory(WENO)scheme approximates the viscosity solution of the PDE.Finally,the heights of three-dimensional surface are obtained.Experimental results show that themaximum error and the mean error of 3D surface recovery of the new algorithm are significantly reduced,compared with the traditional al-gorithm.
作者 赵中滨 张志毅 邢彩燕 ZHAO Zhong-bin;ZHANG Zhi-yi;XING Cai-yan(College of Information Engineering,Northwest A&F University,Xi'an 712100,China)
出处 《计算机工程与科学》 CSCD 北大核心 2018年第3期481-486,共6页 Computer Engineering & Science
基金 国家863计划(2013AA10230402) 国家自然科学基金(61303124)
关键词 明暗恢复形状 Phong反射模型 透视投影 粘性解 shape from shading Phong reflection model perspective projection viscosity solution
  • 相关文献

参考文献2

二级参考文献29

  • 1周富强,李章,张广军.基于三维测量扫描线点云的表面重建[J].仪器仪表学报,2006,27(6):619-623. 被引量:23
  • 2吴凤和,张晓峰.基于参数域映射及B样条插值的三维重构方法[J].中国激光,2007,34(7):977-982. 被引量:8
  • 3KAGAWA T, SHIMAMOTO T, NISHINO H, et al. A study of haptic interaction for image edition tools [ C ]. Complex, Intelligent and Software Intensive Systems (CISIS) ,2010 International Conference on. IEEE, Krakow, 2010: 1135-1140.
  • 4LE MERCIER B, KHEDDAR A. A simple way of integrating texture in virtual environments for haptic rendering[ C]. Ad- vanced Robotics,2005. ICAR'05. Proceedings. , 12th Interna- tional Conference on. IEEE, Seattle, WA, 2005 : 755 -760.
  • 5WU J, SONG A, ZOU C. A novel haptic texture display based on image processing [ C ]. Robotics and Biomimet- ics ,2007. IEEE International Conference on. IEEE, Sanya, 2007 : 1315-1320.
  • 6VASUDEVAN H, MANIVANNAN M. Tangible images: runtime generation of haptic textures from images [ C ]. Haptic interfaces for virtual environment and teleoperator systems, Symposium on. IEEE, Reno, NE,2008:357-360.
  • 7ADI W, SULAIMAN S. Haptic texture rendering based on visual texture information: A study to achieve realistic haptic texture rendering[ J ]. Visual Informaties: Bridging Research and Practice,2009,5857: 279-287.
  • 8KUCAR J, MIKUMA K. Slow and fast diffusion effects in image processing [ J ]. Comput. Visual Sci. , 2001,3 (4) : 185-195.
  • 9CHAN F T, VESE L. Active contours without edges [ J ]. IEEE Transactions on Image Processing, 2001,10 ( 2 : 266-277.
  • 10RUDIN L, OSHER S, FATEMI E. Nonlinear total variation based noise removal algorithm [ J ]. Physica D, 1992,60 : 259-268.

共引文献17

同被引文献10

引证文献2

二级引证文献12

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部