Proceedings of the Workshop on Physics-Based Modeling in Computer Vision最新文献_第2页

Multi-spectral based cell segmentation and analysis 基于多光谱的细胞分割与分析

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514682

G. Fernandez, Murat Kunt, J. Zrÿd

引用次数: 6

Am Illumination Planner for Convex and Concave Lambertian Polyhedral Objects 凹凸朗伯多面体物体的照明规划器

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514674

F. Solomon, K. Ikeuchi

{"title":"Am Illumination Planner for Convex and Concave Lambertian Polyhedral Objects","authors":"F. Solomon, K. Ikeuchi","doi":"10.1109/PBMCV.1995.514674","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514674","url":null,"abstract":"Abstract : The measurement of shape is a basic object inspection task. We use a noncontact method to determine shape called photometric stereo. The method uses three light sources which sequentially illuminate the object under inspection and a video camera for taking intensity images of the object. A significant problem with using photometric stereo is determining where to place the three light sources and the video camera. In order to solve this problem, we have developed an illumination planner that determines how to position the three light sources and the video camera around the object. The planner determines how to position light sources around an object so that we illuminate a specified set of faces in an efficient manner, and so that we obtain an accurate measurement. We predict the uncertainty in our measurements due to sensor noise by performing a statistical simulation in our planner. This gives us the capability to determine when a measured shape differs in a statistically significant way from what we expect. From a high level, our planner has three major inputs: the CAD model of the object to be inspected, a noise model for our sensor, and a reflectance model for the object to be inspected. We have experimentally verified that the plans generated by the planner are valid and accurate.","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":"133904652","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

Seeing physics, or: physics is for prediction [computer vision] 看到物理，或:物理是为了预测[计算机视觉]

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514679

M. Brand, P. Cooper, L. Birnbaum

引用次数: 2

Principal components analysis and neural network implementation of photometric stereo 光度立体的主成分分析与神经网络实现

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514676

Y. Iwahori, R. Woodham, A. Bagheri

引用次数: 33

Polarization based removal of spurious inter-reflections in active ranging 主动测距中基于偏振的杂散间反射去除

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514681

J. Clark, E. Truces, H.-F. Cheung

引用次数: 0

Nonlinear finite element methods for nonrigid motion analysis 非刚体运动分析的非线性有限元方法

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514672

Wen-Chen Huang, Dmitry Goldgof, L. Tsap

引用次数: 15

Physically-based adaptive preconditioners for early vision 基于物理的早期视力自适应预调节器

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514680

S. Lai, B. Vemuri

引用次数: 5

New directions in texture modeling using random fields with random spatial interaction 基于随机空间交互作用的随机场纹理建模新方向

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514683

Athanasios Speis, G. Healey

引用次数: 1

Form from function: a vector field based approach to the analysis of CT images of the vascular tree 形式从功能:基于向量场的方法来分析血管树的CT图像

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514670

J. Williams, L. B. Wolff

引用次数: 2

Volumetric segmentation of medical images by three-dimensional bubbles 三维气泡医学图像的体积分割

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision Pub Date : 1995-06-18 DOI: 10.1109/PBMCV.1995.514662

Hüseyin Tek, B. Kimia

{"title":"Volumetric segmentation of medical images by three-dimensional bubbles","authors":"Hüseyin Tek, B. Kimia","doi":"10.1109/PBMCV.1995.514662","DOIUrl":"https://doi.org/10.1109/PBMCV.1995.514662","url":null,"abstract":"The segmentation of structure from images is an inherently difficult problem in computer vision and a bottleneck to its widespread application, e.g., in medical imaging. This paper presents an approach for integrating local evidence such as regional homogeneity and edge response to form global structure for figure?ground segmentation. This approach is motivated by a shock-based morphogenetic language, where the growth of four types of shocks results in a complete description of shape. Specifically, objects are randomly hypothesized in the form of fourth-order shocks (seeds) which then grow, merge, split, shrink, and, in general, deform under physically motivated “forces,” but slow down and come to a halt near differential structures. Two major issues arise in the segmentation of 3D images using this approach. First, it is shown that the segmentation of 3D images by 3D bubbles is superior to a slice-by-slice segmentation by 2D bubbles or by “212D bubbles” which are inherently 2D but use 3D information for their deformation. Specifically, the advantages lie in an intrinsic treatment of the underlying geometry and accuracy of reconstruction. Second, gaps and weak edges, which frequently present a significant problem for 2D and 3D segmentation, are regularized by curvature-dependent curve and surface deformations which constitute diffusion processes. The 3D bubbles evolving in the 3D reaction?diffusion space are a powerful tool in the segmentation of medical and other images, as illustrated for several realistic examples.","PeriodicalId":343932,"journal":{"name":"Proceedings of the Workshop on Physics-Based Modeling in Computer Vision","volume":"47 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114016889","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: 99