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Journal ArticleDOI

Determining straight line correspondences from intensity images

Yuncai Liu, +1 more
- 01 Apr 1991 - 
- Vol. 24, Iss: 6, pp 489-504
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TLDR
An algorithm for straight edge extraction from intensity images and an algorithm forstraight line matching using a matching function, which characterizes the similarity of edge lines of two images and is based on not only the geometrical relations of the lines but also the information from the intensity images.
About
This article is published in Pattern Recognition.The article was published on 1991-04-01. It has received 46 citations till now. The article focuses on the topics: Line (geometry) & Line segment.

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Citations
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DissertationDOI

Automatic Digital Surface Model (DSM) generation from linear array images

Li Zhang
TL;DR: In this paper, an image matching approach for automatic digital surface model (DSM) generation from linear array images, which has the ability to provide dense, precise and reliable results is presented.
Journal ArticleDOI

Line-based correction of radial lens distortion

TL;DR: Quantitative and qualitative experimental results using both synthetic and real image data show that the radial distortion parameters of a camera technique is effective.
Journal ArticleDOI

Constraint, Optimization, and Hierarchy

TL;DR: This paper breaks down the correspondence problem into its general components: token type, match constraints, and method employed to encode and search match information and discusses at some length the benefits of hierarchical matching.
Journal ArticleDOI

Motion-based segmentation and region tracking in image sequences ☆

TL;DR: An algorithm for segmenting and tracking moving objects in a scene is presented and temporal information provided by a region tracking strategy is integrated for improving frame-to-frame motion segmentation.
Journal Article

A Recursive Approach to Space Resection Using Straight Lines

TL;DR: An approach using straight lines as features to solve the photogrammetric space resection problem is presented in this article, where an explicit mathematical model relating straight lines, in both object and image space, is used.
References
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Journal ArticleDOI

A Computational Approach to Edge Detection

TL;DR: There is a natural uncertainty principle between detection and localization performance, which are the two main goals, and with this principle a single operator shape is derived which is optimal at any scale.
Book

Pattern classification and scene analysis

TL;DR: In this article, a unified, comprehensive and up-to-date treatment of both statistical and descriptive methods for pattern recognition is provided, including Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Journal ArticleDOI

Theory of Edge Detection

TL;DR: The theory of edge detection explains several basic psychophysical findings, and the operation of forming oriented zero-crossing segments from the output of centre-surround ∇2G filters acting on the image forms the basis for a physiological model of simple cells.
Journal ArticleDOI

Cooperative Computation of Stereo Disparity

TL;DR: It is shown that this algorithm successfully extracts information from random-dot stereograms, and its implications for the psychophysics and neurophysiology of the visual system are briefly discussed.
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