Geometry Texture Synthesis Based on Laplacian Texture Image
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 ena...
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Published in | Journal of computer science and technology Vol. 25; no. 3; pp. 606 - 613 |
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Main Author | |
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 | |
Online Access | Get full text |
ISSN | 1000-9000 1860-4749 |
DOI | 10.1007/s11390-010-9349-6 |
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Abstract | 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. |
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AbstractList | 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. TP3; 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. 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.[PUBLICATION ABSTRACT] |
Author | 冉令强 孟祥旭 |
AuthorAffiliation | School of Computer Science and Technology, Shandong University, Jinan 250101, China |
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Cites_doi | 10.1145/501786.501787 10.1145/280814.280831 10.1145/383259.383297 10.1145/1060244.1060248 10.1145/1186562.1015774 10.1145/566570.566634 10.1109/ICCV.1999.790383 10.1109/TVCG.2009.59 10.1007/s11390-007-9083-x 10.1145/566654.566589 10.1145/566654.566583 10.1145/1360612.1360652 10.1145/882262.882264 10.1145/383259.383298 10.1145/383259.383296 10.1007/s00371-006-0047-x 10.1145/383259.383295 10.1109/SMI.2004.1314505 10.1145/311535.311576 10.1145/364338.364405 10.1145/1281500.1281510 10.1007/978-3-7091-6242-2_28 10.1145/344779.344987 10.1145/166117.166120 10.1145/344779.345009 10.1145/1057432.1057437 10.1111/j.1467-8659.2006.00999.x 10.1145/1057432.1057456 |
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References_xml | – reference: HuangHDTongXWangWCAccelerated parallel texture optimizationJ. Comput. Sci. & Technol.200722576176910.1007/s11390-007-9083-x – reference: LaiYKJinMXieXHeYPalaciosJZhangEHuSMGuXMetric-driven rosy field design and remeshingIEEE Transactions on Visualization and Computer Graphics20101619510810.1109/TVCG.2009.59 – reference: Tong X, Zhang J, Liu L, Wang X, Guo B, Shum H Y. Synthesis of bidirectional texture functions on arbitrary surfaces. In Proc. SIGGRAPH 2002, San Antonio, USA, July 21–26, 2002, pp.665–672. – reference: Praun E, Finkelstein A, Hoppe H. Lapped textures. In Proc. SIGGRAPH 2000, New Orleans, USA, July 23–28, 2000, pp.465–470. – reference: Lipman Y, Sorkine O, Cohen-Or D, Levin D, Rössl C, Seidel H P. Differential coordinates for interactive mesh editing. In Proc. SMI 2004, Genova, Italy, June 2–4, 2004, pp.181–190. – reference: Efros A A, FreemanW T. Image quilting for texture synthesis and transfer. In Proc. SIGGRAPH 2001, Los Angeles, USA, Aug. 12–17, 2001, pp.341–346. – reference: Wei L Y, Levoy M. Fast texture synthesis using tree-structured vector quantization. In Proc. SIGGRAPH 2000, New Orleans, USA, July 23–28, 2000, pp.479–488. – reference: Yu Y, Zhou K, Xu D, Shi X, Bao H, Guo B, Shum H Y. Mesh editing with poisson-based gradient field manipulation. In Proc. SIGGRAPH 2004, Los Angeles, USA, Aug. 8–12, 2004, pp.644–651. – reference: BiermannHMartinIBernardiniFZorinDCut-and-paste editing of multiresolution surfacesACM Trans. Graph.200221331232110.1145/566654.566583 – reference: Hormann K, Lévy B, Sheffer A. Mesh parameterization: Theory and practice. In ACM SIGGRAPH 2007 Courses (SIGGRAPH 2007), San Diego, USA, Aug. 5–9, 2007, Article No.1. – reference: Turk G. Texture synthesis on surfaces. In Proc. SIG-GRAPH2001, Los Angeles, USA, Aug. 12–17, 2001, pp.347–354. – reference: Lai Y K, Hu S M, Gu D X, Martin R R. Geometric texture synthesis and transfer via geometry images. In Proc. 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Snippet | 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... TP3; 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... |
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SubjectTerms | 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 |
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Title | Geometry Texture Synthesis Based on Laplacian Texture Image |
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