CVGIP: Image Understanding最新文献_第5页

Optimal parallel algorithms for quadtree problems 四叉树问题的最优并行算法

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/CIUN.1994.1019

S. Kasif

引用次数: 8

Author Index for Volume 59 第59卷作者索引

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1027

引用次数: 0

Image Analysis and Computer Vision: 1993 图像分析与计算机视觉:1993

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1026

Rosenfeld A.

引用次数: 10

Statistical analysis of geometric computation 几何计算的统计分析

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/CIUN.1994.1020

K. Kanatani

引用次数: 31

Optimal Parallel Algorithms for Quadtree Problems 四叉树问题的最优并行算法

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1019

Kasif S.

引用次数: 8

S + -trees: an efficient structure for the representation of large pictures S +树:表示大图片的有效结构

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/CIUN.1994.1018

W. D. Jonge, P. Scheuermann, A. Schijf

{"title":"S + -trees: an efficient structure for the representation of large pictures","authors":"W. D. Jonge, P. Scheuermann, A. Schijf","doi":"10.1006/CIUN.1994.1018","DOIUrl":"https://doi.org/10.1006/CIUN.1994.1018","url":null,"abstract":"Abstract We are concerned in this paper with the efficient encoding and manipulation of pixel trees that are resident on secondary devices. We introduce a new structure, the S+-tree, that consists of a paged linear treecode representation of the picture (data) and an index whose entries represent separators among some of the leafcodes implicitly embedded in the linear representation. Our scheme combines the advantages of treecode and leafcode representations by offering the space efficiency of DR-expressions and the indexing capabilities of B+-trees, thus permitting easy sequential and random access to a compact representation of pictorial data. We describe an algorithm which encodes our structure from an ordered list of black leafcodes. The paged structure of the S+-tree, whereby each data page is a self-contained tree, enables to design an efficient random access search algorithm to find the color of a given region that corresponds to a quadrant or semi-quadrant. The search algorithm is non-recursive in nature and it can be optimized to work bytewise instead of bitwise. We also present an efficient method for performing translation operations on large pictures stored on secondary devices and illustrate its efficiency with the S+-treestructure.","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"5 1","pages":"265-280"},"PeriodicalIF":0.0,"publicationDate":"1994-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80622847","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: 35

Robust Specularity Detection from a Single Multi-illuminant Color Image 多光源彩色图像的鲁棒反射性检测

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1022

Drew M.S.

{"title":"Robust Specularity Detection from a Single Multi-illuminant Color Image","authors":"Drew M.S.","doi":"10.1006/ciun.1994.1022","DOIUrl":"10.1006/ciun.1994.1022","url":null,"abstract":"<div><p>How can one identify specularities when an object is illuminated by light that varies in spectrum with direction from the surface? A linear model of color shading can answer this question and also recover surface orientation in non-specular regions using only a single color image of the surface taken under a set of illuminants whose positions, strengths, and spectral content need not be known a priori. The shape-from-color method is based on a Lambertian model. For such a reflectance model the surface normal is related in a linear way to the measured RGB color. Linearity means that the Gaussian sphere is transformed into an ellipsoid in color space, and one can solve for the ellipsoid using least squares; surface normals are recovered only up to an overall orthogonal transformation unless additional constraints are employed. When specularities are present, the least-squares method no longer works. If, however, one views specularities as outliers to the underlying color ellipsoid, then a robust method can still find that surface in RGB space. Here a least-median-of-squares method is used to recover shape and detect specularities at the same time.</p></div>","PeriodicalId":100350,"journal":{"name":"CVGIP: Image Understanding","volume":"59 3","pages":"Pages 320-327"},"PeriodicalIF":0.0,"publicationDate":"1994-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1006/ciun.1994.1022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74990664","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: 22

Analytical Characterization of the Feature Detectability Constraints of Resolution, Focus, and Field-of-View for Vision Sensor Planning 用于视觉传感器规划的分辨率、焦点和视场特征可检测性约束的分析表征

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1024

Tarabanis K., Tsai R.Y., Allen P.K.

引用次数: 51

Curve Extraction in Images Using a Multiresolution Framework 使用多分辨率框架提取图像中的曲线

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1025

Calway A.D., Wilson R.

引用次数: 12

Statistical Analysis of Geometric Computation 几何计算的统计分析

CVGIP: Image Understanding Pub Date : 1994-05-01 DOI: 10.1006/ciun.1994.1020

Kanatani K.

引用次数: 31