Matterport3D 360° RGBD Dataset

Dataset

Description

This dataset is an extension of Matterport3D that contains data to train and validate high resolution 360 monocular depth estimation models. The data is structured in 90 folders belonging to 90 different buildings storing a total of 9684 samples. Each sample of the dataset consists of 4 files: the RGB equirectangular 360 image (.png), its depth ground-truth (.dpt), a visualisation of the depth ground-truth (.png) and the camera to world extrinsic parameters for the image (.txt) saved as 7 parameters: 3 for the camera center and the last 4 for the XYWZ rotation quaternion.
Date made available25 Mar 2022
PublisherUniversity of Bath
  • 360MonoDepth: High-Resolution 360° Monocular Depth Estimation

    Rey-Area, M., Yuan, M. & Richardt, C., 27 Sep 2022, (E-pub ahead of print) Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 9879016. (IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

    Research output: Chapter or section in a book/report/conference proceedingChapter in a published conference proceeding

    Open Access
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