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ENHANCING DEPTH SENSOR-BASED 3D GEOMETRY RECONSTRUCTION WITH PHOTOGRAMMETRY
ENHANCING DEPTH SENSOR-BASED 3D GEOMETRY RECONSTRUCTION WITH PHOTOGRAMMETRY
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机译：用光度法增强基于深度传感器的3D几何重构
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摘要
Described are methods and systems for enhancing depth sensor-based 3D geometry reconstruction with photogrammetry. A 3D sensor captures scans of a physical object, including related pose information and HD images corresponding to each scan. For each scan, a computing device generates an initial 3D model of the physical object, the initial model having missing sections. The computing device detects the missing sections in a 3D point cloud associated with the initial model and projects the missing sections in the point cloud to a corresponding HD image. The computing device generates image segments of the corresponding HD image that match the missing sections in the point cloud, generates a point cloud structure for each of the image segments of the corresponding HD image, and merges the initial model and the generated point cloud structures to generate a final 3D model with the missing sections filled in.
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