Geometry Texture Synthesis Based on Laplacian Texture Image

• Published in: Journal of computer science and technology Vol. 25; no. 3; pp. 606 - 613
• Main Author: 冉令强 孟祥旭
• Format: Journal Article
• Language: English
• Published: Boston Springer US 01.05.2010; Springer Nature B.V; School of Computer Science and Technology,Shandong University,Jinan 250101,China
• Subjects: Adjustment; Algorithms; Artificial Intelligence; Boundary conditions; Computer Science; Computer simulation; Data Structures and Information Theory; Editing; Geometry; Information Systems Applications (incl.Internet); Laplacian; Mathematical models; Methods; Principal components analysis; Short Paper; Software Engineering; Surface layer; Surface layers; Synthesis; Texture; Theory of Computation; 合成方法; 图像纹理; 拉普拉斯; 曲面几何; 目标模型; 纹理合成; 纹理图像; synthesis; geometry texture; image; Laplacian; editing
• ISSN: 1000-9000; 1860-4749
• DOI: 10.1007/s11390-010-9349-6

In this paper, we present a new method to synthesize geometric texture details on an arbitrary surface from a sample texture patch. The key idea is to use Laplacian texture images to represent geometric texture details, which in turn facilitate simple and effective geometry texture synthesis and enable flexible geometry texture editing. Given a sample model and a target model, we first select a patch from the sample model and extract the geometric texture details. Next, we construct a Laplacian texture image for the extracted texture and synthesize the Laplacian texture image to the target model using an image texture synthesis technique on surface. Finally, we reconstruct the textured target model with adjusted Laplacian coordinates. Compared to the existing methods, our method is easy-to-implement and produces results of high quality. Furthermore, it performs flexible control on the appearance of the textured target model through operations on the Laplacian texture image.