{"title":"Detail-preserving axial deformation using curve pairs","authors":"Wenbing Ge, Gang Xu, K. Hui, Guoping Wang","doi":"10.1109/SMI.2009.5170164","DOIUrl":"https://doi.org/10.1109/SMI.2009.5170164","url":null,"abstract":"Traditional axial deformation is simple and intuitive for users to modify the shape of objects. However, unexpected twist of the object may be obtained. The use of a curve-pair allows the local coordinate frame to be controlled intuitively. However, some important geometric details may be lost and changed in the deformation process. In this paper, we present a detail-preserving axial deformation algorithm based on Laplacian coordinates. Instead of embedding the absolute coordinates into deformation space in traditional axial deformation, we transform the Laplacian coordinates at each vertex according to the transformation of local frames at the closest points on the axial curve. Then the deformed mesh is reconstructed by solving a linear system that describes the reconstruction of the local details in least squares sense. By associating a complex 3D object to a curve-pair, the object can be stretched, bend, twisted intuitively through manipulating the curve-pair, and can also be edited by means of view-dependent sketching. This method combines the advantages of axial deformation and Laplacian mesh editing. Experimental results are presented to show the effectiveness of the proposed method.","PeriodicalId":237863,"journal":{"name":"2009 IEEE International Conference on Shape Modeling and Applications","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115041596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mesh denoising based on differential coordinates","authors":"Zhixun Su, Hui Wang, Junjie Cao","doi":"10.1109/SMI.2009.5170156","DOIUrl":"https://doi.org/10.1109/SMI.2009.5170156","url":null,"abstract":"In this paper, we propose a novel triangle mesh denoising method based on the differential coordinates. The proposed approach consists of the application of the mean filter to differential coordinates of the mesh and the reconstruction of mesh vertices' Cartesian coordinates to make them fit to the modified differential coordinates. The presented method is simple, stable and able to effectively remove large noise. Experimental results demonstrate that the proposed Mesh Mean Filter does not cause surface shrinkage and shape distortion during the denoising process, and preserves geometric detail features to a certain extent.","PeriodicalId":237863,"journal":{"name":"2009 IEEE International Conference on Shape Modeling and Applications","volume":"106 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122409260","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Shape watermarking based on minimizing the quadric error metric","authors":"Ming Luo, A. Bors","doi":"10.1109/SMI.2009.5170170","DOIUrl":"https://doi.org/10.1109/SMI.2009.5170170","url":null,"abstract":"Blind and robust watermarking of 3D object aims to embed codes into a 3D object such that the object is not visually distorted from the original shape. An essential condition is that the message should be securely extracted even after the graphical object was processed. In this paper, we propose a novel blind and robust mesh watermarking method based on the quadric error metric. The vertices are firstly grouped into bins using a secret key according to their distances to the object center. The statistics of the distances in each bin is modified when embedding the message. A novel quadric selective vertex placement scheme is proposed for finding the best location of each vertex, following watermark embedding, such that the resulting shape distortion is minimal. Experimental results show that the proposed method reduces the distortion to a minimum in the 3D shape.","PeriodicalId":237863,"journal":{"name":"2009 IEEE International Conference on Shape Modeling and Applications","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123403765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}