MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices

• URL: http://arxiv.org/abs/2303.01932v1
• Date: Fri, 3 Mar 2023 14:02:50 GMT
• Title: MobileBrick: Building LEGO for 3D Reconstruction on Mobile Devices
• Authors: Kejie Li, Jia-Wang Bian, Robert Castle, Philip H.S. Torr, Victor Adrian Prisacariu
• Abstract summary: High-quality 3D ground-truth shapes are critical for 3D object reconstruction evaluation. We introduce a novel multi-view RGBD dataset captured using a mobile device. We obtain precise 3D ground-truth shape without relying on high-end 3D scanners.
• Score: 78.20154723650333
• License: http://creativecommons.org/licenses/by-nc-nd/4.0/
• Abstract: High-quality 3D ground-truth shapes are critical for 3D object reconstruction evaluation. However, it is difficult to create a replica of an object in reality, and even 3D reconstructions generated by 3D scanners have artefacts that cause biases in evaluation. To address this issue, we introduce a novel multi-view RGBD dataset captured using a mobile device, which includes highly precise 3D ground-truth annotations for 153 object models featuring a diverse set of 3D structures. We obtain precise 3D ground-truth shape without relying on high-end 3D scanners by utilising LEGO models with known geometry as the 3D structures for image capture. The distinct data modality offered by high-resolution RGB images and low-resolution depth maps captured on a mobile device, when combined with precise 3D geometry annotations, presents a unique opportunity for future research on high-fidelity 3D reconstruction. Furthermore, we evaluate a range of 3D reconstruction algorithms on the proposed dataset. Project page: http://code.active.vision/MobileBrick/

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