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3D60 Dataset 是研究全景相机、360度相机必不可少的数据集。
目录
网页链接: https://vcl3d.github.io/3D60/
3D60是在各种360度视觉研究作品[1]、[2]、[3]的背景下生成的集合数据集。它包括来自真实和合成的大规模3D数据集(Matterport3D [4], Stanford2D3D [5], SunCG[6])场景的多模态立体渲染。
[1] Zioulis, N.*, Karakottas, A.*, Zarpalas, D., and Daras, P. (2018). Omnidepth: Dense depth estimation for indoors spherical panoramas. In Proceedings of the European Conference on Computer Vision (ECCV).
[2] Zioulis, N., Karakottas, A., Zarpalas, D., Alvarez, F., and Daras, P. (2019). Spherical View Synthesis for Self-Supervised 360o Depth Estimation. In Proceedings of the International Conference on 3D Vision (3DV).
[3] Karakottas, A., Zioulis, N., Samaras, S., Ataloglou, D., Gkitsas, V., Zarpalas, D., and Daras, P. (2019). 360o Surface Regression with a Hyper-sphere Loss. In Proceedings of the International Conference on 3D Vision (3DV).
[4] Chang, A., Dai, A., Funkhouser, T., Halber, M., Niessner, M., Savva, M., Song, S., Zeng, A. and Zhang, Y. (2017). Matterport3d: Learning from rgb-d data in indoor environments. In Proceedings of the International Conference on 3D Vision (3DV).
[5] Armeni, I., Sax, S., Zamir, A.R. and Savarese, S., 2017. Joint 2d-3d-semantic data for indoor scene understanding. arXiv preprint arXiv:1702.01105.
[6] Song, S., Yu, F., Zeng, A., Chang, A.X., Savva, M. and Funkhouser, T., 2017. Semantic scene completion from a single depth image. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
这个数据集需要申请两次,
在数据集主页,找到 Usage 的位置,点击 “this request form”,这个申请需要在 google 上填写,所以需要 Fan Qiang,如下图
填写详细包括如下内容:
然后进入下载页面 https://vcl3d.github.io/3D60/download.html,再次申请(以下载 Central 为例):
1.
2. 进入链接后点击:
3. 进入链接后,填写信息:
4. 此后,你的邮箱里会有各种邮件,前几个邮件比较快,但最重要的邮件需要多等点时间,大概要几个小时以后,最重要的邮件 3D60 Dataset Access 才能收到
5. 进入 3D60 Dataset Access 邮件,点击邮件中的链接,就可以下载了,下载速度还挺快的,一共 13 个压缩包。
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