Jian-Wei Li, Wei Gao and Yi-Hong Wu. Elaborate Scene Reconstruction with a Consumer Depth Camera. International Journal of Automation and Computing, vol. 15, no. 4, pp. 443-453, 2018. DOI: 10.1007/s11633-018-1114-2
Citation: Jian-Wei Li, Wei Gao and Yi-Hong Wu. Elaborate Scene Reconstruction with a Consumer Depth Camera. International Journal of Automation and Computing, vol. 15, no. 4, pp. 443-453, 2018. DOI: 10.1007/s11633-018-1114-2

Elaborate Scene Reconstruction with a Consumer Depth Camera

  • A robust approach to elaborately reconstruct the indoor scene with a consumer depth camera is proposed in this paper. In order to ensure the accuracy and completeness of 3D scene model reconstructed from a freely moving camera, this paper proposes new 3D reconstruction methods, as follows: 1) Depth images are processed with a depth adaptive bilateral filter to effectively improve the image quality; 2) A local-to-global registration with the content-based segmentation is performed, which is more reliable and robust to reduce the visual odometry drifts and registration errors; 3) An adaptive weighted volumetric method is used to fuse the registered data into a global model with sufficient geometrical details. Experimental results demonstrate that our approach increases the robustness and accuracy of the geometric models which were reconstructed from a consumer-grade depth camera.
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