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Journal ArticleDOI

Using perspective transformations in scene analysis

Robert M. Haralick
- 01 Jul 1980 - 
- Vol. 13, Iss: 3, pp 191-221
TLDR
In this paper, a self-contained review of the perspective transformation governing 2D images taken of a 3D world is presented, using coordinates of points, direction cosines of lines on the image, or 3D models of objects.
About
This article is published in Computer Graphics and Image Processing.The article was published on 1980-07-01. It has received 149 citations till now. The article focuses on the topics: Vanishing point & Perspective (geometry).

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Citations
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Journal ArticleDOI

Determination of the attitude of 3D objects from a single perspective view

TL;DR: It is shown on examples related to polyhedra that this approach leads to results useful for both location and recognition of 3D objects because few admissible hypotheses are retained from the interpolation of the three line segments.
Journal ArticleDOI

Interpreting perspective images

TL;DR: Two constructive methods for determining the spatial orientation of curves and surfaces appearing in an image by 'backprojection' of two intrinsic properties of contours: angle magnitude and curvature are presented.
Proceedings ArticleDOI

Decomposition of transformation matrices for robot vision

TL;DR: A new and simple analytical technique is presented that accomplishes the inverse problem of computing the camera location and orientation from the transformation matrix rather easily and has considerable applications for motion tracking.
Journal ArticleDOI

Camera calibration by vanishing lines for 3-D computer vision

TL;DR: A novel approach to camera calibration by vanishing lines is proposed, using a hexagon as the calibration target to generate a vanishing line of the ground plane from its projected image that includes useful geometric hints about the camera orientation parameters and the focal length.
Journal ArticleDOI

A new efficient and direct solution for pose estimation using quadrangular targets: algorithm and evaluation

TL;DR: An algorithm for pose estimation based on the volume measurement of tetrahedra composed of feature-point triplets extracted from an arbitrary quadrangular target and the lens center of the vision system is proposed.
References
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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.
Dissertation

Machine perception of three-dimensional solids,

TL;DR: Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering, 1963.
Book

Camera Models and Machine Perception

TL;DR: A parametric model for a computer-controlled moveable camera on a pan-tilt head that expresses the transform relating object space to image space as a function of the control variables of the camera is developed.
Book

The Real Projective Plane

TL;DR: A comprehensive introduction to projective geometry can be found in this article which can be understood by anyone familiar with high-school geometry and algebra and includes an appendix and diskette with Mathematica scripts which can generate illustrations for several chapters.