Journal ArticleDOI
Computer and Robot Vision
TLDR
Computer and Robot Vision Vol.Abstract:
Computer and Robot Vision Vol. 1, by R.M. Haralick and Linda G. Shapiro, Addison-Wesley, 1992, ISBN 0-201-10887-1.read more
Citations
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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.
Journal ArticleDOI
SUSAN—A New Approach to Low Level Image Processing
TL;DR: This paper describes a new approach to low level image processing; in particular, edge and corner detection and structure preserving noise reduction and the resulting methods are accurate, noise resistant and fast.
Journal ArticleDOI
A tutorial on visual servo control
TL;DR: This article provides a tutorial introduction to visual servo control of robotic manipulators by reviewing the prerequisite topics from robotics and computer vision, including a brief review of coordinate transformations, velocity representation, and a description of the geometric aspects of the image formation process.
Journal Article
Machine Learning for High-Speed Corner Detection
Edward Rosten,Tom Drummond +1 more
TL;DR: In this paper, the same scene viewed from two different positions should yield features which correspond to the same real-world 3D locations, and a comparison of corner detectors based on this criterion applied to 3D scenes is made.
Journal ArticleDOI
Face recognition based on fitting a 3D morphable model
Volker Blanz,Thomas Vetter +1 more
TL;DR: This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations, including cast shadows and specular reflections, using computer graphics.
References
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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 ChapterDOI
Machine learning for high-speed corner detection
Edward Rosten,Tom Drummond +1 more
TL;DR: It is shown that machine learning can be used to derive a feature detector which can fully process live PAL video using less than 7% of the available processing time.
Journal ArticleDOI
SUSAN—A New Approach to Low Level Image Processing
TL;DR: This paper describes a new approach to low level image processing; in particular, edge and corner detection and structure preserving noise reduction and the resulting methods are accurate, noise resistant and fast.
Journal ArticleDOI
A tutorial on visual servo control
TL;DR: This article provides a tutorial introduction to visual servo control of robotic manipulators by reviewing the prerequisite topics from robotics and computer vision, including a brief review of coordinate transformations, velocity representation, and a description of the geometric aspects of the image formation process.
Journal ArticleDOI
Face recognition based on fitting a 3D morphable model
Volker Blanz,Thomas Vetter +1 more
TL;DR: This paper presents a method for face recognition across variations in pose, ranging from frontal to profile views, and across a wide range of illuminations, including cast shadows and specular reflections, using computer graphics.