3D RECONSTRUCTION WITH A COLLABORATIVE APPROACH BASED ON SMARTPHONES AND A CLOUD-BASED SERVER
- 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.