## Relative 3D Reconstruction Using Multiple Uncalibrated Images (1995)

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### BibTeX

@INPROCEEDINGS{Mohr95relative3d,

author = {R. Mohr and L. Quan and F. Veillon},

title = {Relative 3D Reconstruction Using Multiple Uncalibrated Images},

booktitle = {},

year = {1995},

pages = {543--548}

}

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### Abstract

In this paper, we show how relative 3D reconstruction from point correspondences of multiple uncalibrated images can be achieved through reference points. The original contributions with respect to related works in the field are mainly a direct global method for relative 3D reconstruction, and a geometrical method to select a correct set of reference points among all image points. Experimental results from both simulated and real image sequences are presented, and robustness of the method and reconstruction precision of the results are discussed. Key words: relative reconstruction, projective geometry, uncalibration, geometric interpretation 1 Introduction 1.1 Relative positioning From a single image, no depth can be computed without a priori information. Even more, no invariant can be computed from a general set of points as shown by Burns, Weiss and Riseman (1990). This problem becomes feasible using multiple images. The process is composed of two major steps. First, image feature...

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Citation Context ...nthetic and real data. Two basic assumptions are made here. First we assume that the reader is familiar with elementary projective geometry, as it can be found in the first chapters of [14] (see also =-=[5]-=-). We also assume throughout this paper that the imaging system is a perfect perspective projection, i.e. the camera is a perfect pinhole. However this point will be discussed with the interpretation ... |

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