Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 187-194, 2017
https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
 
14 Nov 2017
3D RECONSTRUCTION WITH A COLLABORATIVE APPROACH BASED ON SMARTPHONES AND A CLOUD-BASED SERVER
E. Nocerino1, F. Poiesi2, A. Locher3, Y. T. Tefera2, F. Remondino1, P. Chippendale2, and L. Van Gool3 13D Optical Metrology (3DOM) unit, Bruno Kessler Foundation (FBK), Trento, Italy
2Technologies of Vision (TeV) unit, Bruno Kessler Foundation (FBK), Trento, Italy
3Computer Vision Lab, ETH Zurich, Switzerland
Keywords: smartphone, 3D reconstruction, low-cost, collaborative, SfM, photogrammetry, dense image matching Abstract. The paper presents a collaborative image-based 3D reconstruction pipeline to perform image acquisition with a smartphone and geometric 3D reconstruction on a server during concurrent or disjoint acquisition sessions. Images are selected from the video feed of the smartphone’s camera based on their quality and novelty. The smartphone’s app provides on-the-fly reconstruction feedback to users co-involved in the acquisitions. The server is composed of an incremental SfM algorithm that processes the received images by seamlessly merging them into a single sparse point cloud using bundle adjustment. Dense image matching algorithm can be lunched to derive denser point clouds. The reconstruction details, experiments and performance evaluation are presented and discussed.
Conference paper (PDF, 2271 KB)


Citation: Nocerino, E., Poiesi, F., Locher, A., Tefera, Y. T., Remondino, F., Chippendale, P., and Van Gool, L.: 3D RECONSTRUCTION WITH A COLLABORATIVE APPROACH BASED ON SMARTPHONES AND A CLOUD-BASED SERVER, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W8, 187-194, https://doi.org/10.5194/isprs-archives-XLII-2-W8-187-2017, 2017.

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