屋内物体の3DメッシュモデルデータセットDIO：ロボティクスとコンピュータビジョン向け
DIO: Dataset of 3D Mesh Models of Indoor Objects for Robotics and Computer Vision Applications
カメラ画像とフォトグラメトリ、3Dスキャナを用いて屋内物体の高精度3Dメッシュモデルを生成し、データセットとして公開した。
著者: Nillan Nimal, Wenbin Li, Ronald Clark, Sajad Saeedi
分類: cs.RO, cs.CV
原文アブストラクト
The creation of accurate virtual models of real-world objects is imperative to robotic simulations and applications such as computer vision, artificial intelligence, and machine learning. This paper documents the different methods employed for generating a database of mesh models of real-world objects. These methods address the tedious and time-intensive process of manually generating the models using CAD software. Essentially, DSLR/phone cameras were employed to acquire images of target objects. These images were processed using a photogrammetry software known as Meshroom to generate a dense surface reconstruction of the scene. The result produced by Meshroom was edited and simplified using MeshLab, a mesh-editing software to produce the final model. Based on the obtained models, this process was effective in modelling the geometry and texture of real-world objects with high fidelity. An active 3D scanner was also utilized to accelerate the process for large objects. All generated models and captured images are made available on the website of the project.
