Kazuki Okami
ABSTRACT
Simulation of the reflectance of translucent materials is one of the most important factors in the creation of realistic CG objects. Estimating the reflectance characteristics of translucent materials from a single image is a very efficient way of re-rendering objects that exist in real environments. However, this task is considerably challenging because this approach leads to problems such as the existence of many unknown parameters. Munoz et al. [2011] proposed a method for the estimation of the bidirectional surface scattering reflectance distribution function (BSSRDF) from a given single image. However, it is difficult or impossible to estimate the BSSRDF of materials with complex shapes because this method's target was the convexity of objects therefore, it used a rough depth recovery technique for global convex objects. In this paper, we propose a method for accurately estimating the BSSRDF of human faces, which have complex shapes. We use a 3D face reconstruction technique to satisfy the above assumption. We are able to acquire more accurate geometries of human faces, and it enables us to estimate the reflectance characteristics of faces.
Supplemental Material
Available for Download
Supplemental material.
- Jensen, H. W., Marschner, S. R., Levoy, M., and Hanrahan, P. 2001. A practical model for subsurface light transport. In Proc. SIGGRAPH 2001, 511--518. Google Scholar
Digital Library
- Maejima, A., and Morishima, S. 2008. Fast Plausible 3D Face Generation from a Single Photograph. ACM SIGGRAPH ASIA 2008, Poster, maejima.pdf.Google Scholar
- Munoz, A., Echevarria, J. I., Seron, F. J., Lopez-Moreno, J., Glencross, M., and Gutierrez, D. 2011. BSSRDF Estimation from Single Images. In Proc. Computer Graphics Forum 30, 2, 455--464.Google ScholarCross Ref
Recommendations
Acquiring the reflectance field of a human face
SIGGRAPH '00: Proceedings of the 27th annual conference on Computer graphics and interactive techniquesWe present a method to acquire the reflectance field of a human face and use these measurements to render the face under arbitrary changes in lighting and viewpoint. We first acquire images of the face from a small set of viewpoints under a dense ...
Single-shot layered reflectance separation using a polarized light field camera
EGSR '16: Proceedings of the Eurographics Symposium on Rendering: Experimental Ideas & ImplementationsWe present a novel computational photography technique for single shot separation of diffuse/specular reflectance as well as novel angular domain separation of layered reflectance. Our solution consists of a two-way polarized light field (TPLF) camera ...
Single-Image Reflectance Estimation for Relighting by Iterative Soft Grouping
PG '02: Proceedings of the 10th Pacific Conference on Computer Graphics and ApplicationsReflectance values for image-based relighting are often estimated from grouped pixels with similar reflectance, but such groupings are difficult to compute with certainty for sparse image data. To address this problem, we propose an iterative method ...
Comments