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Surface reconstruction from feature based stereo

机译:基于特征立体声的表面重建

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We describe an approach to recovering surface models of complex scenes from the quasisparse data returned by a feature based stereo system. The method can be used to merge stereo results obtained from different viewpoints into a single coherent surface mesh. The technique proceeds by exploiting the freespace theorem which provides a principled mechanism for reasoning about the structure of the scene based on quasisparse correspondences in multiple image. Effective methods for overcoming the difficulties posed by missing features and outliers are discussed. Results obtained by applying this approach to actual images are presented.
机译:我们描述了一种从基于特征的立体声系统返回的Quasisparse数据中恢复复杂场景的表面模型的方法。该方法可用于将从不同视点获得的立体声结果合并到单个相干表面网格中。该技术通过利用Freespace定理来进行,该定理提供了基于多个图像中的Quasisparse对应关系来推理的原理机制。讨论了克服缺失特征和异常值困难的有效方法。提出了通过将这种方法应用于实际图像而获得的结果。

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