A historical survey of geometric computer vision

Authors:
Peter Sturm
Affiliations:
INRIA Grenoble Rhône-Alpes and Laboratoire Jean Kuntzmann, Grenoble, France
Venue:
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part I
Year:
2011

Citing 7
Cited 0

A camera calibration technique using three sets of parallel lines

Machine Vision and Applications
Using vanishing points for camera calibration

International Journal of Computer Vision
A theory of self-calibration of a moving camera

International Journal of Computer Vision
What can be seen in three dimensions with an uncalibrated stereo rig

ECCV '92 Proceedings of the Second European Conference on Computer Vision
Euclidean Reconstruction from Image Sequences with Varying and Unknown Focal Length and Principal Point

CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Self-Calibration and Metric Reconstruction in spite of Varying and Unknown Internal Camera Parameters

ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
An Efficient Solution to the Five-Point Relative Pose Problem

IEEE Transactions on Pattern Analysis and Machine Intelligence

Quantified Score

Hi-index	0.00

Visualization

Abstract

This short paper accompanies an invited lecture on a historical survey of geometric computer vision problems. It presents some early works on image-based 3D modeling, multi-view geometry, and structurefrom-motion, from the last three centuries. Some of these are relatively well known to photogrammetrists and computer vision researchers whereas others seem to have been largely forgotten or overlooked. This paper gives a very brief summary of an ongoing historical study.