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

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3D scene representation using a deformable surface 使用可变形表面的3D场景表示
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514664
A. Hilton, J. Gonçalves
{"title":"3D scene representation using a deformable surface","authors":"A. Hilton, J. Gonçalves","doi":"10.1109/PBMCV.1995.514664","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514664","url":null,"abstract":"This paper presents a method based on a deformable surface (DS)\u0000for constructing representations of real 3D scenes from multiple range\u0000images. The DS model uses physically based surface and edge constraints\u0000to reconstruct a representation from noisy 3D data. The representation\u0000constructed identifies consistent surface regions and discontinuities\u0000which fit the 3D data to within known tolerances. Fusion of multiple\u0000range images enables a complete 3D scene reconstruction. A multi-scale\u0000representation is obtained which gives an order of magnitude data\u0000reduction. Representations can be used for feature matching or CAD model\u0000building","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"52 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":"128825666","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: 8
Shape decomposition based on erosion model 基于侵蚀模型的形状分解
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514677
F. Kanehara, S. Satoh, T. Hamada
{"title":"Shape decomposition based on erosion model","authors":"F. Kanehara, S. Satoh, T. Hamada","doi":"10.1109/PBMCV.1995.514677","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514677","url":null,"abstract":"W e present a shape decomposition method based o n e ros ion model t o extract convex parts f r o m a planar closed shape. Our approach i s based o n the curvature analysis of shape contours assuming that divisions of a shape generally occurs at concavities o n the contour, as if the sea gained o n the land along the coast. W e call this model as e ros ion model. The outline of our algorithm i s as follows. As a beginning, the vectorized shape contour i s extracted f r o m a silhouette image. Next , a n erosional vector which represents a force of erosion at each concavity i s computed, and then, a boundary which splits the shape i s decided. These processes are recursively performed until no division is available. Finally, some parts are merged if necessa y. T h e advantage of our approach i s that the meaningful convex part can be obtained ef ic ient ly and the decomposit ion results are theoretically invariant to translat ion, rotation and scaling.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"21 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":"117160506","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: 3
A physics-based approach for detecting man-made objects in ultra-wideband SAR imagery 一种基于物理的超宽带SAR图像中人造物体探测方法
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514665
R. Kapoor, N. Nandhakumar
{"title":"A physics-based approach for detecting man-made objects in ultra-wideband SAR imagery","authors":"R. Kapoor, N. Nandhakumar","doi":"10.1109/PBMCV.1995.514665","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514665","url":null,"abstract":"We describe a physics-based approach for interpretation of\u0000ultra-wide and (UWB) synthetic aperture radar (SAR) imagery for object\u0000classification. The UWB sensor (50 MHz to 1 GHz) is used for detection\u0000of man-made objects, including those which are obscured by a forest\u0000canopy. An electromagnetic prediction is made illustrating that the\u0000“early-time” (physical optics) portion of the backscatter is\u0000highly dependent on aspect angle of the incident wave. At certain\u0000angles, man-made objects exhibit specular reflections while natural\u0000objects generally do not. Aspect-angle sensitivity is estimated by\u0000reconstructing the SAR image of an object over smaller subapertures of\u0000the full synthetic aperture. This multi-aperture approach provides\u0000important angular information, however, this alone cannot be used to\u0000accurately classify objects due to a limited range of aspect angles and\u0000an inhomogeneous obscuring media. Consequently this information is\u0000combined with polarization information to establish a robust feature\u0000vector for object classification","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"2 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":"123791821","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: 1
Thermophysical affine invariants from IR imagery for object recognition 红外图像中用于物体识别的热物理仿射不变量
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514667
N. Nandhakumar, V. Velten, J. D. Michel
{"title":"Thermophysical affine invariants from IR imagery for object recognition","authors":"N. Nandhakumar, V. Velten, J. D. Michel","doi":"10.1109/PBMCV.1995.514667","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514667","url":null,"abstract":"An important issue in developing a model-based vision approach is\u0000the specification of features that are: (a) invariant to viewing and\u0000scene conditions, and also (b) specific, i.e., the feature must have\u0000different values for different classes of objects. We formulate a new\u0000approach for establishing invariant features. Our approach considers not\u0000just surface reflection and surface geometry, but it also takes into\u0000account internal object composition and state which affect images sensed\u0000in the non-visible spectrum. This new type of invariance is called\u0000thermophysical invariance. The approach is based on a physics-based\u0000model that is derived from the principle of the conservation of energy\u0000applied at the surface of the imaged object","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"7 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":"130265711","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
Model-based image enhancement of far infra-red images 基于模型的远红外图像增强
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514666
R. Highnam, M. Brady
{"title":"Model-based image enhancement of far infra-red images","authors":"R. Highnam, M. Brady","doi":"10.1109/PBMCV.1995.514666","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514666","url":null,"abstract":"In this paper we devise robust and reliable image enhancement\u0000algorithms for far infra-red images. The algorithms are based upon a\u0000model of the imaging process. The model that we develop is qualitative\u0000due to the unpredictable nature of the scenes. The model predicts that\u0000an idealized far infra-red image consists of piecewise-constant patches.\u0000On the basis of this model and models of the degrading factors we then\u0000apply two known algorithms: median filtering and spatial homomorphic\u0000filtering. In order to speed up the enhancement we extend our model\u0000temporally and develop a new algorithm: spatio-temporal homomorphic\u0000filtering. The paper ends with an attempt to convert the far infra-red\u0000images taken at night to visible daylight images","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":"124514928","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: 11
A ray-based computational model of light sources and illumination 光源和照明的基于光线的计算模型
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514673
M. Langer, S. Zucker
{"title":"A ray-based computational model of light sources and illumination","authors":"M. Langer, S. Zucker","doi":"10.1109/PBMCV.1995.514673","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514673","url":null,"abstract":"Models of light sources and illumination are fun­ damental in physics-based vision. Light sources have traditionally been modelled as objects that emit light, while illumination has been modelled as a radiance function defined over free space. The difficulty with traditional light source models is that, while a diverse collection of models exists, each is so specific that re­lationships between them, and between the algorithms based on them, are unclear. At the other extreme, models of spatial illumination have been so general that they have not provided sufficient constraint for vision. We seek to unify these two extremes by de­ veloping a ray-based computational model of light sources and illumination. sources and illumination. The model articulates strong constraints on the geometry and radiance of light rays in a scene, and expresses the relationship between free space, sources, and illumination. Appli­ cations of this model to problems in computer vision are discussed.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"146 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":"127245637","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: 8
Physics-like invariants for vision 视觉的物理不变量
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514668
I. Weiss
{"title":"Physics-like invariants for vision","authors":"I. Weiss","doi":"10.1109/PBMCV.1995.514668","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514668","url":null,"abstract":"Unlike geometric invariants, the invariants described here concern\u0000the physical processes that form images, involving shading, IR, radar,\u0000sonar, etc. The image formed by such a process depends on many variables\u0000in addition to the geometry, such as the characteristics of the lighting\u0000or other incident radiation, the imaging system, etc. Most of these\u0000variables are not known in advance, so the recovery of shape is\u0000difficult. The problem could be greatly simplified if we could find\u0000invariants of the situation, namely quantities that stay unchanged as\u0000some of the unknown variables change. In this paper we apply known\u0000methods of mathematical physics to finding invariants of physical\u0000imaging processes. These methods take advantage of various symmetries,\u0000which can be part of a model-based approach to recognition. As an\u0000example we use the shape from shading problem, but the methods have a\u0000much wider applicability","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"8 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":"126410956","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: 2
5/spl plusmn/2 eigenimages suffice: an empirical investigation of low-dimensional lighting models 5/spl + usmn/2个特征图像就足够了:低维光照模型的实证研究
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514675
Russell A. Epstein, Peter W. Hallinan, A. Yuille
{"title":"5/spl plusmn/2 eigenimages suffice: an empirical investigation of low-dimensional lighting models","authors":"Russell A. Epstein, Peter W. Hallinan, A. Yuille","doi":"10.1109/PBMCV.1995.514675","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514675","url":null,"abstract":"Recently, P.W. Hallinan (1994) proposed a low dimensional lighting\u0000model for describing the variations in face images due to altering the\u0000lighting conditions. It was found that five eigenimages were sufficient\u0000to model these variations. This report shows that this model can be\u0000extended to other objects, in particular to those with diffuse\u0000specularities and shadows. We find that sharp specularities and shadows\u0000cannot be well represented by a low dimensional model. However, both\u0000effects can be adequately described as residuals to such a model. We can\u0000deal with occluders in a similar way. We conclude that low dimensional\u0000models, using 5±2 eigenimages, can be usefully extended to\u0000represent arbitrary lighting for many different objects. We discuss\u0000applications of these results to object recognition","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"85 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":"124646375","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: 176
Surface approximation of complex multipart objects 复杂多部分物体的曲面逼近
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514661
Chia-Wei Liao, G. Medioni
{"title":"Surface approximation of complex multipart objects","authors":"Chia-Wei Liao, G. Medioni","doi":"10.1109/PBMCV.1995.514661","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514661","url":null,"abstract":"Deformable models can be widely used to approximate object;. from collected data points, but most algorithms can only handle geometrically and topologically simple objects. They are inadequate for objects with deep cavities or multi- part objects, or when more than one object is in the scene. We propose an approach which can fit simultaneously more than one surface to approximate multiple topological- ly complex objects. We use (I) the residual data points, (2) the bad parts of the fitting surface, and (3) appropriate Boolean operations. We then present an algorithm to con- struct an analytical surface representation, based on the el- ements detected. The global representation of an object, in terms of elements and their connection, takes the form of B- spline ad Btzier surfaces. A Btzier surface is employed to connect different elements, and the connecting surjiace itserf conforms to the data points nearby through energy minimi- zation. This way, we achieve G' continuity surfaces even for multipart objects. We present results on complex synthetic and real da- ta. The system proceeds automatically without human in- teraction or any prior knowledge on the topology of the underlying object. eywords snakes, range image, deformable model, B-spline, Bkz- ier surface, blending surface, segmentation.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"10 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":"127635351","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: 2
Model based part segmentation of range data-hyperquadrics and dividing planes 基于模型的距离数据-超二次曲面和分割面分割
Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514663
Senthil Kumar, Dmitry Goldgof
{"title":"Model based part segmentation of range data-hyperquadrics and dividing planes","authors":"Senthil Kumar, Dmitry Goldgof","doi":"10.1109/PBMCV.1995.514663","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514663","url":null,"abstract":"In this paper, we present a novel techn,ique for the volum.etric decomposition of ran,ge data into parts. In this model based technique, we use hyperquadrics as part models. A hyperquadric is represented by an implicit equation that is composed of an arbitrary number of terms. A given hyperquadric model with a certain number of terms can be split into two separate models (or parts) by the introduction of an additional term. This additional term can be viewed as a dividing plane that divides th,e parent model. We use such a splitting scheme to subdivide a given object recursively into its constitute parts. We provide a two-stage segmentation process in which the first stage uses dividing planes to produce an, approximate segmentation, of the data and the second stage uses hyperquadric models to refine the above segmentation, A final merging stage corrects oversegmentation to obtain good part decomposition. Experimental results with real data are presented.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"7 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":"133175318","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: 6
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