{"title":"Registration of range images that preserves local surface structures and color","authors":"I. Okatani, A. Sugimoto","doi":"10.1109/TDPVT.2004.1335396","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335396","url":null,"abstract":"We propose an ICP-based registration method for range images that preserves fundamental features, i.e., local structures and color, of object surfaces. The method employs local surfaces as an attribute for establishing correspondences between range images where local surfaces are evaluated geometrically and photometrically. In estimating correspondences between range images, our method evaluates consistency of shape patterns and chromaticity of local surfaces together. In estimating transformation parameters relating the coordinates between different range images, on the other hand, our method evaluates skewness and chromaticity of correspondences. These two kinds of evaluation enhances accuracy of the estimation and results in preserving local structures and color of object surfaces.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125733121","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":"Construction of animal models and motion synthesis in 3D virtual environments using image sequences","authors":"C. Panagiotakis, G. Tziritas","doi":"10.1109/TDPVT.2004.1335202","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335202","url":null,"abstract":"We describe a system that can build 3D animal models and synthesize animations in 3D virtual environments. The model is constructed by 2D images captured by specific views. The animation is synthesised by using physical motion models of the animal and tracking data from image sequences. Finally, the user selects some points of the 3D world and a smooth and safe motion path, which passes by these points, is created. The main assumption of the 3D modelling is that the animal could be divided into parts whose normal sections are ellipses. Joints and angles between skeleton points are used in order to decrease models complexity. Using the above methodology, a snake, a lizard and a goat are reconstructed.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126558880","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":"Dense multiple view stereo with general camera placement using tensor voting","authors":"Philippos Mordohai, G. Medioni","doi":"10.1109/TDPVT.2004.1335387","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335387","url":null,"abstract":"We present a computational framework for the inference of dense descriptions from multiple view stereo with general camera placement. Thus far research on dense multiple view stereo has evolved along three axes: computation of scene approximations in the form of visual hulls; merging of depth maps derived from simple configurations, such as binocular or trinocular; and multiple view stereo with restricted camera placement. These approaches are either suboptimal, since they do not maximize the use of available information, or cannot be applied to general camera configurations. Our approach does not involve binocular processing other than the detection of tentative pixel correspondences. We require calibration information for all cameras and that there exist camera pairs which enable automatic pixel matching. The inference of scene surfaces is based on the premise that correct pixel correspondences, reconstructed in 3-D, form salient, coherent surfaces, while wrong correspondences form less coherent structures. The tensor voting framework is suitable for this task since it can process the very large datasets we generate with reasonable computational complexity. We show results on real images that present numerous challenges.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126674224","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":"A variational analysis of shape from specularities using sparse data","authors":"J. E. Solem, H. Aanæs, A. Heyden","doi":"10.1109/TDPVT.2004.1335137","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335137","url":null,"abstract":"Looking around in our every day environment, many of the encountered objects are specular to some degree. Actively using this fact when reconstructing objects from image sequences is the scope of the shape from specularities problem. One reason why this problem is important is that standard structure from motion techniques fail when the object surfaces are specular. Here this problem is addressed by estimating surface shape using information from the specular reflections. A specular reflection gives constraints on the surface normal. The approach differs significantly from many earlier shapes from specularities methods since the normal data used is sparse. The main contribution is to give a solid foundation for shape from specularities problems. Estimation of surface shape using reflections is formulated as a variational problem and the surface is represented implicitly using a level set formulation. A functional incorporating all surface constraints is proposed and the corresponding level set motion PDE is explicitly derived. This motion is then proven to minimize the functional. As a part of this functional a variational approach to normal alignment is proposed and analyzed. Also novel methods for implicit surface interpolation to sparse point sets are presented together with a variational analysis. Experiments on both real and synthetic data support the proposed method.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126711813","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":"Fusing multiple color images for texturing models","authors":"Nobuyuki Bannai, A. Agathos, Robert B. Fisher","doi":"10.1109/TDPVT.2004.1335288","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335288","url":null,"abstract":"A commonly encountered problem when creating 3D models of large real scenes is unnatural color texture fusion. Due to variations in lighting and camera settings (both manual and automatic), captured color texture maps of the same structure can have very different colors. When fusing multiple views to create larger models, this color variation leads to a poor appearance with odd color tilings on homogeneous surfaces. This paper extends previous research on pairwise global color correction to multiple overlapping images. The central idea is to estimate a set of blending transformations that minimize the overall color discrepancy in the overlapping regions, thus spreading residual color errors, rather than letting them accumulate.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127062410","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":"Specularity elimination in range sensing for accurate 3D modeling of specular objects","authors":"Johnny Park, A. Kak","doi":"10.1109/TDPVT.2004.1335310","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335310","url":null,"abstract":"We present a novel range sensing method that is capable of constructing accurate 3D models of specular objects. Our method utilizes a new range imaging concept called multipeak range imaging, which accounts for the effects of mutual reflections. False measurements generated by mutual reflections are then eliminated by applying a series of constraint tests based on local smoothness, global coordinate consistency and visibility consistency. We show the usefulness of our method by applying the method to three real objects with specular surfaces. The ground truth data for those three objects were also acquired in order to evaluate the elimination of false measurements and to justify the selection of the parameters in the constraint tests. Experimental results indicate that our method significantly improves upon the traditional methods for constructing reliable 3D models of specular objects with complex shapes.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130840421","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 matching using the 3D Radon transform","authors":"P. Daras, D. Zarpalas, D. Tzovaras, M. Strintzis","doi":"10.1109/TDPVT.2004.1335419","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335419","url":null,"abstract":"A method for 3D model content-based search and retrieval based on the 3D Radon transform and a querying-by-3D-model approach, is presented. Descriptors are extracted using the 3D Radon transform and applying a set of functionals on the transform coefficients. Similarity measures are then created for the extracted descriptors and introduced into a 3D model-matching algorithm. This results to a very fast and accurate matching method. Experiments were performed using two different databases and comparing the proposed method with others. Experimental results show that the proposed method can be used for 3D model search and retrieval in a highly efficient manner.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133356926","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":"Projection model, 3D reconstruction and rigid motion estimation from non-central catadioptric images","authors":"Nuno Gonçalves, Helder Sabino de Araújo","doi":"10.1109/TDPVT.2004.1335221","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335221","url":null,"abstract":"This paper addresses the problem of rigid motion estimation and 3D reconstruction in vision systems where it is possible to recover the incident light ray direction from the image points. Such systems include pinhole cameras and catadioptric cameras. Given two images of the same scene acquired from two different positions, the transformation is estimated by means of an iterative process. The estimation process aims at having corresponding incident rays intersecting at the same 3D point. Geometrical relationships are derived to support the estimation method. Furthermore, this paper also addresses the problem of the mapping from 3D points to image points, for non-central catadioptric cameras with mirror surfaces given by quadrics. The projection model presented can be expressed in a non-linear equation of only one variable, being more stable and easier to solve than the classical Snell's law. Experiments with real images are presented, by using simulated annealing as estimation method.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129360409","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":"View dependence of 3D recovery from folded pictures and warped 3D faces","authors":"J. P. Cavanagh, M. Grünau, L. Zimmerman","doi":"10.1109/TDPVT.2004.1335139","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335139","url":null,"abstract":"In a popular visual illusion, the portrait on paper currency is folded into an M shape along vertical lines through the nose and the eyes. When this folded picture is tilted back and forth horizontally the face undergoes striking changes in expression. This distortion reveals two insights concerning 3D representation in the human visual system and we have explored these with experiments on simple schematic faces and observations on distortions of laser range images of faces. The observations show first that when recovering depicted depth, pictorial cues are interpreted independently of binocular depth information and second, that the recovery of facial expression is based on a scaled prototypical face structure.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129287212","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":"Non-rigid range-scan alignment using thin-plate splines","authors":"Benedict J. Brown, S. Rusinkiewicz","doi":"10.1109/TDPVT.2004.1335392","DOIUrl":"https://doi.org/10.1109/TDPVT.2004.1335392","url":null,"abstract":"We present a nonrigid alignment algorithm for aligning high-resolution range data in the presence of low-frequency deformations, such as those caused by scanner calibration error. Traditional iterative closest points (ICP) algorithms, which rely on rigid-body alignment, fail in these cases because the error appears as a nonrigid warp in the data. Our algorithm combines the robustness and efficiency of ICP with the expressiveness of thin-plate splines to align high-resolution scanned data accurately, such as scans from the Digital Michelangelo Project [M. Levoy et al. (2000)]. This application is distinguished from previous uses of the thin-plate spline by the fact that the resolution and size of warping are several orders of magnitude smaller than the extent of the mesh, thus requiring especially precise feature correspondence.","PeriodicalId":191172,"journal":{"name":"Proceedings. 2nd International Symposium on 3D Data Processing, Visualization and Transmission, 2004. 3DPVT 2004.","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2004-09-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115048030","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}