Automatically assigned DDC number: 00637

Manually assigned DDC number: 00637

Number of references: 16

Title: Uncalibrated Euclidean Reconstruction: A Review

Author:

Subject: Andrea Fusiello Uncalibrated Euclidean Reconstruction: A Review

Description: This paper provides a review on techniques for computing a three-dimensional model of a scene from a single moving camera, with unconstrained motion and unknown parameters. In the classical approach, called autocalibration or self-calibration, camera motion and parameters are recovered first, using rigidity; then structure is easily computed. Recently, new methods based on the idea of stratification have been proposed. They upgrade the projective structure, achievable from correspondences only, to the Euclidean structure, by exploiting all the available constraints. Key words: 3D vision, Autocalibration, Euclidean reconstruction, Self-calibration, Uncalibrated cameras. 1 Introduction The goal of Computer Vision (see [1] for an introduction) is to compute properties (mainly geometric) of the three-dimensional world from images. One of the challenging problems of Computer Vision is to reconstruct a three-dimensional model of the scene from a moving camera. Possible applications include...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1999-02-12

Pubyear: 2000

Format: ps

Identifier: http://citeseer.ist.psu.edu/174783.html

Source: ftp://taras.dimi.uniud.it/pub/papers/ivc99.ps.gz

Language: en

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