一种新的结构-运动歧义

Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149) Pub Date : 1999-06-23 DOI:10.1109/CVPR.1999.786937

J. Oliensis

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引用次数: 43

摘要

本文论证了欧几里得运动结构(SFM)中存在一种通用的近似模糊性，该模糊性适用于深度变化较大的场景。在投影SFM中不存在歧义，但最大似然重建更有可能偶尔出现非常大的误差。该分析给出了与Jepson/Heeger/Maybank分析的互补域上的最小二乘误差曲面的半定量表征。

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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A new structure-from-motion ambiguity

This paper demonstrates the existence of a generic approximate ambiguity in Euclidean structure from motion (SFM) which applies to scenes with large depth variation. In projective SFM the ambiguity is absent, but the maximum-likelihood reconstruction is more likely to have occasional very large errors. The analysis gives a semi-quantitative characterization of the least-squares error surface over a domain complementary to that analyzed by Jepson/Heeger/Maybank.

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Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149)

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