{"title":"Building symbolic information for 3D human body modeling from range data","authors":"L. Dekker, I. Douros, B. Buxton, P. Treleaven","doi":"10.1109/IM.1999.805369","DOIUrl":"https://doi.org/10.1109/IM.1999.805369","url":null,"abstract":"The work is concerned with the signal-to-symbol problem of building skinned, segmented, landmarked and labeled 3D models of the whole human body from range data. A fully automated model based process is presented that takes raw range data, cleans and skins it, and then locates \"interesting\" features, to enrich the surface with symbolic information for specific applications. The method is validated via volumetrics in medicine and surface anthropometry.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131018296","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":"Recovery of shape and surface reflectance of specular object from rotation of light source","authors":"H. Saito, Kazuko Omata, S. Ozawa","doi":"10.1109/IM.1999.805385","DOIUrl":"https://doi.org/10.1109/IM.1999.805385","url":null,"abstract":"We present a method for recovery of shape and surface reflectance of specular object from color images taken with the light source rotating. The image sequence is taken with a fixed camera while the light source is relatively rotating around the axis parallel to the optical axis of the camera. We derive the relationship between the body reflectance at every object surface point and the rotating angle of the object. For the adapting specular reflectance case, we develop the algorithm to extract only the body reflectance component which obeys the derived relationship for estimating surface normals and the body reflectance component. As a result, the object shape and body reflectance distribution of the object surface can be recovered. In addition to this, reflectance parameters of specularity are also estimated by minimizing the fitting error of the specular reflectance model. For demonstrating the effectiveness of the proposed method, we show the shape, body reflectance, and specular reflectance of specular objects, which are successfully recovered by the proposed method.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122196896","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":"Multiview registration for large data sets","authors":"K. Pulli","doi":"10.1109/IM.1999.805346","DOIUrl":"https://doi.org/10.1109/IM.1999.805346","url":null,"abstract":"We present a multiview registration method for aligning range data. We first align scans pairwise with each other and use the pairwise alignments as constraints that the multiview step enforces while evenly diffusing the pairwise registration errors. This approach is especially suitable for registering large data sets, since using constraints from pairwise alignments does not require loading the entire data set into memory to perform the alignment. The alignment method is efficient, and it is less likely to get stuck into a local minimum than previous methods, and can be used in conjunction with any pairwise method based on aligning overlapping surface sections.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"58 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125654948","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}
T. Fujiwara, Takeshi Nishihara, M. Tominaga, H. Koshimizu, K. Kato, K. Murakami
{"title":"On the detection of feature points of 3D facial image and its application to 3D facial caricature","authors":"T. Fujiwara, Takeshi Nishihara, M. Tominaga, H. Koshimizu, K. Kato, K. Murakami","doi":"10.1109/IM.1999.805381","DOIUrl":"https://doi.org/10.1109/IM.1999.805381","url":null,"abstract":"The paper proposes an automated method for extracting 27 feature points from a 3D facial image. It also shows that 3D facial caricaturing can be realized by such a small number of feature points and that these 27 feature points can be extracted automatically. As a result, it was clarified by comparing a 3D caricature of a 3D PICASSO system with that of a famous caricaturist, Mr. Yoshida, that 3D features of the facial image could be utilized to generate a more impressive facial caricature than the 2D version.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"81 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127749513","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":"Advances in the cooperation of shape from shading and stereo vision","authors":"H. Lange","doi":"10.1109/IM.1999.805333","DOIUrl":"https://doi.org/10.1109/IM.1999.805333","url":null,"abstract":"In the domain of 3D scene reconstruction this work presents the cooperation of shape from shading and stereo vision and demonstrates how to overcome a certain number of previously encountered problems. The problems of application assumptions, regularization terms and simplifications of physical models, used to overcome the problem of the modules of being ill-posed, are solved by the concept of integrating complementary knowledge of the physical world into one system. The problems due to the use of non-optimal resolution methods and too long parameter lists when the modules are integrated in a homogeneous system, are solved by the introduction of a cooperation concept for heterogeneous systems. The problem of error propagation from stereo vision to shape from shading, when only the initial and border conditions are used for the cooperation, is solved by the introduction of simultaneous constraints from both modules on all image points. The shape from shading problems of using too simple physical models for real scenes and inconsistent physical models with stereo vision are overcome by the introduction of more complex physical models. Perspective projection, point light sources and Phong's reflection model. The stereo vision problem caused by the lack of a global quality constraint when correlation is used as resolution method, is solved by using simulated annealing. The stereo vision problem arising from the use of the gray-levels for the resemblance constraint and so assuming lambertian surfaces, is solved by using the photometric characteristics from shape from shading instead.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"25 6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121730549","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":"3D statistical shape models for medical image segmentation","authors":"C. Lorenz, N. Krahnstoever","doi":"10.1109/IM.1999.805372","DOIUrl":"https://doi.org/10.1109/IM.1999.805372","url":null,"abstract":"A novel method that allows the development of surface point-based three-dimensional statistical shape models is presented. The method can be applied to shapes of arbitrary topology. Given a set of medical objects, a statistical shape model can be obtained by principal component analysis. This technique requires that a set of complex shaped objects is represented as a set of vectors that on the one hand uniquely determine the shapes of the objects and on the other hand are suitable for a statistical analysis. The correspondence between the vector components and the respective shape features has to be the same in order for all shape parameter vectors to be considered. We present a novel approach to the correspondence problem for complex three-dimensional objects. The underlying idea is to develop a template shape and to fit this template to all objects to be analyzed. The method is successfully applied to obtain a statistical shape model for the lumbar vertebrae. The obtained shape model is well suited to support image segmentation tasks.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132994110","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":"The digital Michelangelo project","authors":"M. Levoy","doi":"10.1109/IM.1999.805329","DOIUrl":"https://doi.org/10.1109/IM.1999.805329","url":null,"abstract":"Recent improvements in laser rangefinder technology, together with algorithms developed at Stanford for combining multiple range and color images, allow us to reliably and accurately digitize the external shape and reflectance of many physical objects. As an application of this technology, I and a team of 30 faculty, staff, and students from Stanford University and the University of Washington spent the 1998-99 academic year digitizing the sculptures and architecture of Michelangelo. During this time, we scanned 10 statues, including the giant figure of David, and 2 building interiors, including the Medici Chapel, which was designed by Michelangelo. As a side project, we also acquired a high-resolution light field of his statue of Night, in the Medici Chapel. Finally, in another side project, we scanned the 1,163 fragments of the Forma Urbis Romae, the giant marble map of ancient Rome. In the months ahead we will process the data we have collected to create 3D digital models of these objects and, in the case of the Forma Urbis, we will try to assemble the map. The goals of this project are scholarly and educational. Commercial use of the models is not excluded, and many such uses can be imagined, but none is currently planned. I outline the technological underpinnings, logistical challenges, and possible outcomes of this project.","PeriodicalId":110347,"journal":{"name":"Second International Conference on 3-D Digital Imaging and Modeling (Cat. No.PR00062)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1999-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868297","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}