A general-purpose platform for 3-D reconstruction from sequence of images

Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997) Pub Date : 2002-07-08 DOI:10.1109/ICIF.2002.1021186

A. Eid, S. Rashad, A. Farag

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引用次数: 7

Abstract

A number of approaches have been proposed in the literature for reconstruction of 3-D objects from sequence of images. Yet, very few studies have been reported on the quantification/validation of the accuracy of these reconstructions. In addition, no design has been reported for a generic vision platform that can allow various modality imaging. The purpose of this paper is two folds: 1) propose a vision platform that lend itself for acquisition of calibrated sequence of images, and concurrently obtain a direct 3-D reconstruction by laser scanning; and 2) develop and implement different approaches for 3-D reconstructions from sequence of images. 3-D reconstructions will be evaluated against the 3-D scanning generated from a laser scanner. Validation of the reconstructions is made by pairwise comparison with the 3-D scanning results. Preliminary studies with the proposed vision platform show a good promise for its use in the validation of various 3-D reconstructions, registration and data fusion.

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一个通用的三维重建平台，从序列的图像

文献中提出了许多从图像序列重建三维物体的方法。然而，很少有关于这些重建准确性的量化/验证的研究报道。此外，目前还没有一种通用的视觉平台可以实现多种模态成像。本文的目的有两个方面:1)提出了一种视觉平台，可以获取校准后的图像序列，同时通过激光扫描获得直接的三维重建;2)开发和实施从图像序列进行三维重建的不同方法。三维重建将根据激光扫描仪产生的三维扫描进行评估。通过与三维扫描结果的两两对比，对重建结果进行了验证。初步研究表明，该视觉平台在各种三维重建、配准和数据融合的验证中具有良好的应用前景。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the Fifth International Conference on Information Fusion. FUSION 2002. (IEEE Cat.No.02EX5997)

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