Cited By
View all- Timokhin PMikhaylyuk M(2024)A Method to Order Point Clouds for Visualization on the Ray Tracing PipelineProgramming and Computing Software10.1134/S036176882470007550:3(264-272)Online publication date: 1-Jun-2024
Adaptive surface splatting for facial rendering
Pages 363 - 373
Abstract
Recent advances in facial scanning technology provide highly detailed faces, including fine wrinkles. However, because of the increasing complexity of the resulting models, it is necessary to reduce the amount of data while preserving small-scale facial features. In this paper, we propose a new adaptive surface splatting method to reduce the number of splats by optimizing the size and shape of splats using geometric and color information. Using the optimized splats, we can improve the rendering quality, especially in the visually sensitive feature areas. Our adaptive surface splatting is very effective to render massive facial data on tablet PCs or smartphones. Copyright © 2012 John Wiley & Sons, Ltd.
References
[1]
Calvo MG, Nummenmaa L. Detection of emotional faces: salient physical features guide effective visual search. Journal of Experimental Psychology March 2008; 137(3): 471–494.
[2]
Beeler T, Bickel B, Beardsley P, Sumner B, Gross M. High-quality single-shot capture of facial geometry. ACM Transactions on Graphics (Proc. SIGGRAPH 2010) July 2010; 29(4): 40:1–40:9.
[3]
Weyrich T, Matusik W, Pfister H, Bickel B, Donner C, Tu C, McAndless J, Lee J, Ngan A, Jensen HW, Gross M. Analysis of human faces using a measurement-based skin reflectance model. ACM Transactions on Graphics (Proc. SIGGRAPH 2006) July 2006; 25(3): 1013–1024.
[4]
Ghosh A, Hawkins T, Peers P, Frederiksen S, Debevec P. Practical modeling and acquisition of layered facial reflectance. ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2008) December 2008; 27(5): 139:1–139:10.
[5]
Zwicker M, Pfister H, van Baar J, Gross M. Surface splatting, In Proc. SIGGRAPH 2001, Los Angeles, USA, August 2001; 371–378.
[6]
Botsch M, Hornung A, Zwicker M, Kobbelt L. High-quality surface splatting on today's GPUs, In Symposium on point-based graphics 2005, Stony Brook, USA, June 2005; 17–24.
[7]
Garland M, Heckbert PS. Surface simplification using quadric error metrics, In Proc. SIGGRAPH 1997, Los Angeles, USA, August 1997; 209–216.
[8]
Alexa M, Behr J, Cohen-Or D, Fleishman S, Levin D, Silva CT. Point set surfaces, In Proc. IEEE Visualization 2001, VIS 2001, San Diego, USA, October 2001; 21–28.
[9]
Öztireli AC, Alexa M, Gross M. Spectral sampling of manifolds. ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2010) December 2010; 29(6): 168:1–168:8.
[10]
Witkin AP, Heckbert PS. Using particles to sample and control implicit surfaces, In Proc. SIGGRAPH 1994, Orlando, USA, August 1994; 269–277.
[11]
Yan DM, Lévy B, Liu Y, Sun F, Wang W. Isotropic remeshing with fast and exact computation of restricted Voronoi diagram. Computer Graphics Forum (Proc. Eurographics SGP 2009) July 2009; 28(5): 1445–1454.
[12]
Valette S, Chasseryand JM, Prost R. Generic remeshing of 3D triangular meshes with metric-dependent discrete Voronoi diagrams. IEEE Transactions on Visualization and Computer Graphics March 2008; 14(2): 369–381.
[13]
Schreiner JM, Scheidegger CE, Fleishman S, Silva CT. Direct (re)meshing for efficient surface processing. Computer Graphics Forum (Proc. Eurographics 2006) September 2006; 25(3): 527–536.
[14]
Wu J, Kobbelt L. Optimized sub-sampling of point sets for surface splatting. Computer Graphics Forum (Proc. Eurographics 2004) September 2004; 23(3): 643–652.
[15]
Li H, Wei LY, Sander PV, Fu CW. Anisotropic blue noise sampling. ACM Transactions on Graphics (Proc. SIGGRAPH Asia 2010) December 2010; 29(6): 167:1–167:12.
[16]
Viola P, Jones MJ. Robust real-time face detection. International Journal of Computer Vision May 2004; 57(2): 137–154.
[17]
Öztireli AC, Guennebaud G, Gross M. Feature preserving point set surfaces based on non-linear kernel regression. Computer Graphics Forum (Proc. Eurographics 2009) April 2009; 28(2): 493–501.
[18]
Kim HJ, Bickel B, Gross M, Choi SM. Subsurface scattering using splat-based diffusion in point-based rendering. SCIENCE CHINA Information Sciences May 2010; 53(5): 911–919.
[19]
Choi SM. Subsurface scattering in point-based rendering. Chinese Science Bulletin 2010 August 2010; 55(23): 2598–2598.
[20]
d'Eon E, Luebke D, Enderton E. Efficient rendering of human skin, In Rendering Techniques 2007: 18th Eurographics Symposium on Rendering, Grenoble, France, June 2007; 147–158.
Recommendations
A hardware architecture for surface splatting
SIGGRAPH '07: ACM SIGGRAPH 2007 papersWe present a novel architecture for hardware-accelerated rendering of point primitives. Our pipeline implements a refined version of EWA splatting, a high quality method for antialiased rendering of point sampled representations. A central feature of ...
A hardware architecture for surface splatting
We present a novel architecture for hardware-accelerated rendering of point primitives. Our pipeline implements a refined version of EWA splatting, a high quality method for antialiased rendering of point sampled representations. A central feature of ...
Automatic size and variance determination for better surface splatting quality on close-up view
VRCAI '11: Proceedings of the 10th International Conference on Virtual Reality Continuum and Its Applications in IndustrySurface splatting has been proven to be a viable alternative to traditional polygon rendering for highly detailed models. In terms of rendering performance, surface splatting has surpassed polygon rendering when it fully exploits today's graphics ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Publisher
John Wiley and Sons Ltd.
United Kingdom
Publication History
Published: 01 May 2012
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- View Citations1Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 17 Feb 2025
Other Metrics
Citations
Cited By
View all- Timokhin PMikhaylyuk M(2024)A Method to Order Point Clouds for Visualization on the Ray Tracing PipelineProgramming and Computing Software10.1134/S036176882470007550:3(264-272)Online publication date: 1-Jun-2024