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Proceedings of the Workshop on Physics-Based Modeling in Computer Vision最新文献

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Spatiotemporal operators and optic flow 时空算子和光流
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514671
W. Niessen, J. Duncan, L. Florack, B. M. terHaarRomeny, M. Viergever
{"title":"Spatiotemporal operators and optic flow","authors":"W. Niessen, J. Duncan, L. Florack, B. M. terHaarRomeny, M. Viergever","doi":"10.1109/PBMCV.1995.514671","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514671","url":null,"abstract":"This paper describes efforts to extract motion characteristics of\u0000a scene directly from the gray-scale data. The measurements are, by the\u0000very nature of the sampling of image data, integral values. The approach\u0000solves the ill-posedness of differentiation. A complete class of\u0000spatiotemporal operators which concisely captures the local\u0000spatiotemporal information tip to any order in space and time is\u0000proposed. Spatial and temporal scale are treated as free parameters. The\u0000operators are used to extract spatiotemporal features and to estimate\u0000the velocity field. In the estimation of the velocity field we use the\u0000generalized optic flow constraint equation, in which the signal over a\u0000region which may be subject to the flow field is conserved rather than\u0000the gray-value associated with a voxel. Examples on test images and\u0000MR-data of the Left Ventricle are shown","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132995827","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}
引用次数: 10
Physical-model based reconstruction of the global instantaneous velocity field from velocity measurement at a few points 基于物理模型的若干测速点瞬时速度场重建
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514669
D. Derou, J. Dinten, L. Hérault, J. Niez
{"title":"Physical-model based reconstruction of the global instantaneous velocity field from velocity measurement at a few points","authors":"D. Derou, J. Dinten, L. Hérault, J. Niez","doi":"10.1109/PBMCV.1995.514669","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514669","url":null,"abstract":"The problem of reconstruction of a global velocity field is an\u0000ill-posed inverse problem, which needs to be regularized so as to be\u0000solved. In this paper, we present a new model of regularization for this\u0000problem. This model is based on physical properties of fluid mechanics\u0000and is performed within the framework of global Bayesian decision theory\u0000and the framework of Markov random fields models. Once the problem is\u0000defined in terms of this anisotropic Markovian model, it is transformed\u0000into the optimization of an energy and is solved thanks to a multiscale\u0000relaxation scheme. Since in case of non-uniformly distributed\u0000observations, the classical multiscale relaxation is limited, we propose\u0000a new method of relaxation, involving the computation of an adaptive\u0000non-uniform grid fitted to the spatial repartition of the data, thanks\u0000to a self-organizing neural network","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133012876","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}
引用次数: 5
Reflectance analysis under solar illumination 太阳光照下的反射率分析
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1994-12-01 DOI: 10.1109/PBMCV.1995.514684
Yoichi Sato, K. Ikeuchi
{"title":"Reflectance analysis under solar illumination","authors":"Yoichi Sato, K. Ikeuchi","doi":"10.1109/PBMCV.1995.514684","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514684","url":null,"abstract":"The paper describes reflectance analysis of real images taken in an outdoor environment. In the past, the fundamental difficulties involved in analyzing outdoor images have prevented the use of traditional techniques for reflectance analysis such as shape from shading and photometric stereo. Those difficulties include: 1. multiple reflection components due to two light sources of different spectral and spatial distributions, namely the sunlight and the skylight, 2. ambiguity, in surface normal determination caused by the sun's restricted motion on the ecliptic, and 3. non-uniform surface albedo of object surfaces. In order to overcome those difficulties, we developed a reflectance model under solar illumination. Based on this model, we proposed solutions for each of these problems. We have successfully tested our algorithms using real color images taken both in a laboratory setup simulating sunlight, and in an outdoor environment under solar illumination.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127788112","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}
引用次数: 39
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