Modified auto-calibration for 3D reconstruction from multiple views of an object

Sunando Sengupta, Sukhendu Das
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引用次数: 3

Abstract

This paper explores the problem of Auto-calibration in 3-D reconstruction of an object from multiple images. Uncalibrated reconstruction, from a set of images taken from any ordinary CCD camera is complicated and difficult due to the presence of non-linear constraints on the scene. Any linear solution suffers from numerical instability or requires additional scene and camera information to be provided. We here present a method of 3-D reconstruction of an object which works without any additional camera parameters by modification of Auto-calibration procedure. The DIAC, computed by the Auto-calibration method is not always positive-definite and metric reconstruction cannot be performed. We approximate DIAC by its covariance square-root, guaranteeing its positive definiteness. This is compared with a few other closest positive definite solutions using a rigidity constraint, and is found to be quite satisfactory.
修改了从一个对象的多个视图进行3D重建的自动校准
本文探讨了多幅图像重建三维目标时的自动标定问题。由于场景存在非线性约束,从普通CCD相机拍摄的一组图像进行非校准重建是复杂和困难的。任何线性解都存在数值不稳定性,或者需要提供额外的场景和相机信息。本文提出了一种通过修改自动标定程序,在不需要任何额外相机参数的情况下进行物体三维重建的方法。自动标定法计算的DIAC不总是正定的,不能进行度量重构。我们用协方差的平方根近似DIAC,保证了DIAC的正确定性。这与其他几个使用刚性约束的最接近的正定解比较,发现是相当令人满意的。
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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