/nlos-dlct

Non-line-of-sight Surface Reconstruction Using the Directional LCT

Primary LanguageMATLABOtherNOASSERTION

Code for Non-line-of-sight Surface Reconstruction Using the Directional LCT

This repository contains code for the paper NLOS Surface Reconstruction Using the Directional LCT by Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein. The captured datasets can be downloaded separately from our project webpage. The simulation dataset can be downloaded from Zaragoza Graphics and Imaging Lab.

Poisson Surface Reconstruction software can be downloaded from Hughes Hoppe's homepage. After compilation, set the execpath variable in dlctsurf.m to point to the folder containing the binaries.

License
The code and dataset are licensed under the following license:

Copyright (c) 2019-2020, Stanford University

All rights reserved.

Redistribution and use in source and binary forms for academic and other non-commercial purposes with or without modification, are permitted provided that the following conditions are met:

Redistributions of source code, including modified source code, must retain the above copyright notice, this list of conditions and the following disclaimer.

Redistributions in binary form or a modified form of the source code must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.

Neither the name of The Leland Stanford Junior University, any of its trademarks, the names of its employees, nor contributors to the source code may be used to endorse or promote products derived from this software without specific prior written permission.

Where a modified version of the source code is redistributed publicly in source or binary forms, the modified source code must be published in a freely accessible manner, or otherwise redistributed at no charge to anyone requesting a copy of the modified source code, subject to the same terms as this agreement.

THIS SOFTWARE IS PROVIDED BY THE TRUSTEES OF THE LELAND STANFORD JUNIOR UNIVERSITY "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE LELAND STANFORD JUNIOR UNIVERSITY OR ITS TRUSTEES BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Contact
Questions can be addressed to Sean Young or David B. Lindell

tl;dr

Clone the git repo, download the datasets from our project webpage, and run dlctdemo.m in Matlab.