Point clouds
Downloading
Building Name (Building Code) Floor # (Floor Code) Download Link Number of Scans Area (ft^2) % Correct Center (DUC) Floor 1 (DUC1) ZIP 50 ~100,000 98% Center (DUC) Floor 2 (DUC2) ZIP 80 ~100,000 100% Hall (CSE) Floor 3 (CSE3) ZIP 7 ~8,000 85% Hall (CSE) Floor 4 (CSE4) ZIP 75 ~19,000 93% Hall (CSE) Floor 5 (CSE5) ZIP 65 ~20,000 66% Usage
Files are named as such:
<Building Code>_scan_<Scan_ID>.ptx
Information on the PTX format can be found here. We only utilize the rows and columns field and transformation matrices are in separate files however.
The points in the PTX file constitute as column-major panorama with the number of rows and columns specified in the PTX header.
Transformation Matrices
Download
Floor Code Download Link DUC1 DUC1 Alignment DUC2 DUC2 Alignment CSE3 CSE3 Alignment CSE4 CSE4 Alignment CSE5 CSE5 Alignment Decompress
unzip alignment.zip
What you get
Transformation matrices are provided in two places, in all_transformations.txt formated as such:
Scan_ID Before general icp: Before GICP 4x4 Transformation Matrix After general icp: After GICP 4x4 Transformation Matrix
The
Before GICP 4x4 Transformation Matrix
is the result of our algorithm. We have then used GICP to improve the fine alignment. Note that the "Before" and "After" GICP matrices may be the same in the case that GICP failedScan_ID
corresponds to the PTX filename.Transformation matrices are also in individual files in the transformations folder withe the naming scheme
<Building Code>_trans_<Scan_ID>.txt
The
Scan_ID
of known incorrectly placed scans are inknown_incorrect.txt
Usage
Transformation matrices can be used as such. Let
p
be a point from a PTX file,p'
be the coordinate of that point in the aligned coordinate system, andT
be the 4x4 transformation matrix for that scan.Using homogeneous coordinates
p' equal-up-to-scale T * p
Using Eigen
p' = (T * p.homogeneous()).eval().hnormalized()
Floorplan and Scale
The scale for DUC1 and DUC2 has included in their respective alignment.zip
's as scale.txt
. The floorplans can be found here.
License
This Wustl Indoor RGBD dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/
If you use our data, please cite our paper:
@inproceedings{wijmans17rgbd,
author = {Erik Wijmans and
Yasutaka Furukawa},
title = {Exploiting 2D Floorplan for Building-scale Panorama RGBD Alignment},
booktitle = {Computer Vision and Pattern Recognition, {CVPR}},
year = {2017},
url = {http://cvpr17.wijmans.xyz/CVPR2017-0111.pdf}
}