Abstract
Texture mapping techniques are widely used in photo-realistic 3D model rendering, but different lighting and viewing parameters create a difference in intensity for neighboring images, so that an edge appears at the boundary where neighboring images are stitched together. We propose an automatic procedure to extract and blend textures. Firstly, textures are extracted from the images and mapped to the triangles of the model. We choose the one with largest resolution if multiple textures extracted from different images are mapped to the same triangle. Secondly, a texture blending procedure is applied. We normalize the images to user-specified base images through overlapping area. Textures are then adjusted to the corresponding textures in the base images, if they exist. Finally, we check the boundary of neighboring textures. Boundary pixels varying discontinuously are averaged, and interior pixels are reassigned colors. Experimental results show that the smooth transition between neighboring textures provide better visual quality than just blending the boundary where neighboring images stitched.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
A. Watt, 3D Computer Graphics, 3rd Edition, Addison-Wesley, NY, 2000.
R. C. Gonzalez and R. E. Woods, Digital Image Processing, Addison-Wesley, NY, 1992.
D. Cazier, et. al., “Modeling characteristics of light: A method based on measured data,” Pacific Conference on Computer Graphics and Applications, 1994.
Y. Sato, M. D. Wheeler, and K. Ikeuchi, “Object shape and reflectance modeling from observation,” SIGGRAPH, 1997.
S. W. Lee and R. Bajcsy, “Detection of specularity using color and multiple views,” Image and Vision Computing, vol. 10, no. 10, 1992.
D. S. Lee, Estimating Reflectance Coefficients of An Object from Its Surrounding Images, Master Theisis, NCTU, Taiwan, 1999.
S. Genc and V. Atalay, „Texture Extraction from Photographs and Rendering with Dynamic Texture Mapping,” Proceedings of Conference on Image Analysis and Processing’99, pp1055–1058.
P. J. Burt and R. J. Kolczynski, „Enhanced Image Capture Through Fusion,” Proceedings of ICCV’93, pp. 173–182.
W. S. Lee, et al., „MPEG-4 Compatible Faces from Orthogonal Photos,” Proceedings of ICCA(Computer Animation), pp 186–194, Geneva, Switzerland, 1999.
P. J. Burt and E. H. Adelson, „A Multiresolution Spline with Application to Image Mosaics,” ACM Trans. Graphics, vol. 2, no. 4, pp. 217–2367, 1983.
T. Akimoto and Y. Suenaga, „Automatic Creation of 3D Facial Models,” IEEE Trans. Computer Graphics and Applications, vol. 13, pp. 16–22, 1993.
Z. Liu and et al., Rapid Modeling of Animated Faces from Video, Technical report, MSRTR-2000-11, Microsoft Research, Microsoft Corporation, Redmond, 2000.
N. Grammalidis, and et al., „Generation of 3-D Head Models from Multiple Images Using Ellipsoid Approximation for the Rear Part,” Proceedings of ICIP’2000, pp. 2845–287, 2000.
F. Schmitt and Y. Yemez, „3D Color Object Reconstruction from 2D Image Sequences,” Proceedings of ICIP’99, vol. 3, pp. 65–69, 1999.
L. Wang, et. al., „Optimal texture map reconstruction from multiple views,” Proceedings of ICCVPR2001, vol. 1 pp. 785–790, 2001.
Z. Chen, C. M. Wang, and S. Y. Ho, „An effective search approach to camera parameter estimation using an arbitrary planar calibration object”, Pattern Recognition. Vol. 26, No. 5, pp.655–666, 1994.
R. I. Hartley, E. Hayman, L. de Agapito, I. Reid, „Camera calibration and the search for infinity,” Proceedings of ICCV, vol. 1, pp. 510–517, 1999.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chou, H., Chen, C. (2002). Texture Extraction and Blending without Prior Knowledge of Lighting Conditions. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_130
Download citation
DOI: https://doi.org/10.1007/3-540-36228-2_130
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-00262-8
Online ISBN: 978-3-540-36228-9
eBook Packages: Springer Book Archive