IEC-Based Image Processing for Texture Mapping

We propose a method to support intuitive coloring and texture mapping for designing of 3D shapes of computer graphics in this paper. This method generates multiple candidate models applying various kinds of texture patterns and allows users to evaluate them sensitively. The technique called interactive evolutionary computation (IEC) helps them to easily find the pleasant color texture pattern for 3D graphic shapes. To respond the users' evaluation quickly, texture-mapping procedure should be easy. In this method, 3D shapes are reconstructed to a simple representation and applied for simple image warp functions.

[1]  Sung-Bae Cho,et al.  Application of interactive genetic algorithm to fashion design , 2000 .

[2]  Paul E. Debevec.  Image-based techniques for digitizing environments and artifacts , 2003, Fourth International Conference on 3-D Digital Imaging and Modeling, 2003. 3DIM 2003. Proceedings..

[3]  Hiroaki Nishino,et al.  An IEC-based 3D geometric morphing system , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[4]  Hiroaki Nishino,et al.  A synthesized 3DCG contents generator using IEC framework , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[5]  Hiroaki Nishino,et al.  A color design assistant based on user's sensitivity , 2003, SMC'03 Conference Proceedings. 2003 IEEE International Conference on Systems, Man and Cybernetics. Conference Theme - System Security and Assurance (Cat. No.03CH37483).

[6]  Hideyuki Takagi,et al.  Interactive evolutionary computation: fusion of the capabilities of EC optimization and human evaluation , 2001, Proc. IEEE.

[7]  Paul E. Debevec.  Image-based modeling and lighting , 1999, COMG.

[8]  Martin Isenburg,et al.  Compressing texture coordinates with selective linear predictions , 2003, Proceedings Computer Graphics International 2003.

[9]  Sébastien Roy,et al.  Automatic relighting of overlapping textures of a 3D model , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..

[10]  Chi-Keung Tang,et al.  Inference of segmented color and texture description by tensor voting , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[11]  K. Aoki,et al.  3-D CG lighting with an interactive GA , 1997, Proceedings of 1st International Conference on Conventional and Knowledge Based Intelligent Electronic Systems. KES '97.