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Theoretical Foundations of Computer Vision最新文献

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Deriving Topological Representations from Edge Images 从边缘图像中提取拓扑表示
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_20
U. Köthe
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引用次数: 6
Inverse Quantization for Resolution Conversion 分辨率转换的逆量化
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_18
A. Torii, T. Ichinose, Y. Wakazono, A. Imiya
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引用次数: 3
Reestablishing Consistency of Uncertain Geometric Relations in Digital Images 数字图像中不确定几何关系的一致性重建
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_17
P. Veelaert
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引用次数: 0
Quantitative Depth Recovery from Time-Varying Optical Flow in a Kalman Filter Framework 卡尔曼滤波框架下时变光流定量深度恢复
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_22
J. Barron, W. Ngai, H. Spies
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引用次数: 8
Unifying Quantitative, Semi-quantitative and Qualitative Spatial Relation Knowledge Representations Using Mathematical Morphology 利用数学形态学统一定量、半定量和定性的空间关系知识表示
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_10
I. Bloch
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引用次数: 7
Medial Set, Boundary, and Topology of Random Point Sets 随机点集的中间集、边界和拓扑
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_13
A. Imiya, H. Ootani, Ken Tatara
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引用次数: 2
All Points Considered: A Maximum Likelihood Method for Motion Recovery 考虑所有点:一种运动恢复的最大似然方法
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_5
D. Keren, I. Shimshoni, L. Goshen, M. Werman
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引用次数: 2
Geometric Structure and Randomness in Texture Analysis and Synthesis 纹理分析与合成中的几何结构与随机性
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_8
G. Gimel'farb, Linjiang Yu, Dongxiao Zhou
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引用次数: 2
A New Class of Morphological Pyramids for Multiresolution Image Analysis 一类新的用于多分辨率图像分析的形态金字塔
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_11
J. Roerdink
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引用次数: 1
Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization 基于差异的数字半色调:自动评估与优化
Theoretical Foundations of Computer Vision Pub Date : 2002-04-07 DOI: 10.1007/3-540-36586-9_19
K. Sadakane, Nadia Takki-Chebihi, T. Tokuyama
{"title":"Discrepancy-Based Digital Halftoning: Automatic Evaluation and Optimization","authors":"K. Sadakane, Nadia Takki-Chebihi, T. Tokuyama","doi":"10.1007/3-540-36586-9_19","DOIUrl":"https://doi.org/10.1007/3-540-36586-9_19","url":null,"abstract":"","PeriodicalId":374241,"journal":{"name":"Theoretical Foundations of Computer Vision","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130924246","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: 15
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