Journal ArticleDOI
Planar grouping for automatic detection of vanishing lines and points
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TLDR
It is demonstrated that the idea of grouping together features that satisfy a geometric relationship can be used, both for (automatic) detection and estimation of vanishing points and lines.About:
This article is published in Image and Vision Computing.The article was published on 2000-06-01. It has received 138 citations till now. The article focuses on the topics: Vanishing point & Parallel.read more
Citations
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Multiple View Geometry in Computer Vision.
TL;DR: This book is referred to read because it is an inspiring book to give you more chance to get experiences and also thoughts and it will show the best book collections and completed collections.
Book
Computer Vision: Algorithms and Applications
TL;DR: Computer Vision: Algorithms and Applications explores the variety of techniques commonly used to analyze and interpret images and takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene.
Book
From Gestalt Theory to Image Analysis: A Probabilistic Approach
TL;DR: This book introduces the reader to a recent theory in Computer Vision yielding elementary techniques to analyse digital images inspired from and are a mathematical formalization of the Gestalt theory, which had never been formalized.
Book ChapterDOI
New Techniques for Automated Architectural Reconstruction from Photographs
Tomáš Werner,Andrew Zisserman +1 more
TL;DR: It is demonstrated that convincing texture mapped models are generated which include the main walls and roofs, together with inset windows and also protruding (dormer) roof windows, and the performance of this technique is assessed.
Book
Computational Symmetry in Computer Vision and Computer Graphics
TL;DR: Recognizing the fundamental relevance and group theory of symmetry has the potential to play an important role in computational sciences.
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.
Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Numerical recipes in C
TL;DR: The Diskette v 2.06, 3.5''[1.44M] for IBM PC, PS/2 and compatibles [DOS] Reference Record created on 2004-09-07, modified on 2016-08-08.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Proceedings Article
Three-dimensional computer vision: a geometric viewpoint
TL;DR: Results from constrained optimization some results from algebraic geometry differential geometry are shown.