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Accurate 3D Modelling by Fusion of Potentially Reliable Active Range and Passive Stereo Data

机译:通过融合潜在可靠的有效范围和被动立体声数据进行精确的3D建模

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摘要

Possibilities of more accurate digital modelling of 3D scenes by fusing 3D range data from an active hand-held laser scene scanner developed in IRL and passive stereo data from stereo pairs of images of the scene collected during the scanning process are discussed. Complementary properties of two data sources allow for improving a 3D model by checking reliability of active range data and using it to adaptively guide passive stereo reconstruction. Experiments show that this avenue of the data fusion offers good prospects of error detection and correction.
机译:讨论了通过融合来自以IRL开发的有源手持式激光场景扫描仪的3D范围数据和来自在扫描过程中收集的场景图像立体对的无源立体声数据,可以对3D场景进行更精确的数字建模的可能性。两个数据源的互补属性可通过检查主动范围数据的可靠性并将其用于自适应地指导被动立体声重建,从而改进3D模型。实验表明,这种数据融合途径为错误检测和纠正提供了良好的前景。

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