ACM Home Page
Please provide us with feedback. Feedback
Recovery of material under complex illumination conditions
Full text PdfPdf (261 KB)
Source Computer graphics and interactive techniques in Australasia and South East Asia archive
Proceedings of the 2nd international conference on Computer graphics and interactive techniques in Australasia and South East Asia table of contents
Singapore
SESSION: Rendering table of contents
Pages: 39 - 45  
Year of Publication: 2004
ISBN:1-58113-883-0
Authors
Enhua Wu  University of Macau, Macao, China
Qimin Sun  Qufu Normal University, Shandong, China
Xuehui Liu  Chinese Academy of Sciences, Beijing, China
Sponsor
SIGGRAPH: ACM Special Interest Group on Computer Graphics and Interactive Techniques
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 7,   Downloads (12 Months): 23,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/988834.988840
What is a DOI?

ABSTRACT

To calculate the inter-reflection between real objects and virtual ones in augmented reality, recovery of material for the real objects is necessary. In this paper, an approach is proposed to recover the material properties from a single high dynamic range image for a homogeneous object under complex illumination conditions. By the method, we first acquire a high dynamic range image for the object, and one or a few environment maps in high dynamic range as illumination of the object. Then a simulated annealing algorithm is employed to solve the inverse rendering problem. Finally, we obtain optimal parameter values for the reflection model in approximating the material of the object. In the course of optimization, image-based lighting and ray tracing techniques are used, and as a result the inter-reflection can be calculated in convenience. In addition, the transparent and translucent properties can be also recovered.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
R. T. Azuma. A survey of augmented reality. In Presence: Teleoperators and Virtual Environments 6, 4 (August 1997), 355--385.
2
 
3
4
 
5
 
6
 
7
A. Fournier, A. Guawan, and C. Romanzin. Common illumination between real and computer generated scenes. In Proc. Graphics Interface'93, 1993.
 
8
9
 
10
C. Loscos, M. Frasson, G. Drettakis, B. Walte, X. Granier, and P. Poulin. Interactive virtual relighting and remodeling of real scenes. In Eurographics Workshop on Rendering'99, 1999.
 
11
 
12
R. C. Love. Surface reflection model estimation from naturally illuminated image sequences. Ph.D. thesis. The University of Leeds, 1997.
 
13
S. Marschner, S. Westin, E. Lafortune, K. Torrance, and D. Greenberg. Image-based BRDF measurement including human skin. In Eurographics Workshop on Rendering, 1999.
 
14
S. Marschner, S. Westin, E. Lafortune, and K. Torrance. Image-based bidirectional reflectance distribution function measurement. In APPLIED OPTICS, Vol. 39, No. 16, 1 June 2000.
 
15
K. Nishino, Z. Zhang, and K. Ikeuchi. Determining reflectance parameters and illumination distribution from a sparse set of images for view-dependent image synthesis. In Int. Conf. on Computer Vision, 2001.
16
 
17
I. Sato, Y. Sato, and K. Ikeuchi. Illumination distribution from brightness in shadows: adaptive estimation of illumination distribution with unknown reflectance properties in shadow regions. In Int. Conf. on Computer Vision, 1999.
 
18
 
19
20
21
22
 
23
 
24
Manoj Aggarwal, Narendra Ahuja, Split Aperture Imaging for High Dynamic Range. in Int'l Conf. on Computer Vision, Vol. 2, 2001, IEEE, pp. 10--17.

Collaborative Colleagues:
Enhua Wu: colleagues
Qimin Sun: colleagues
Xuehui Liu: colleagues