dingqk / nlos

Final project for course Computational Photography at PKU

NLOS

Final project for course Computational Photography at PKU

This is the final project of Qiankun Ding for the course of Computational Photography 2019-2020 at PKU.

Description

To use the code, first download NLOS data, and put them under correct file path.

Z-NLOS dataset:http://graphics.unizar.es/nlos_dataset.html

scenes under ./zaragoza/

rabbit:
bunny_l[0.00,-0.50,0.00]_r[1.57,0.00,3.14]_v[0.80,0.53,0.81]_s[256]_l[256]_gs[1.00]_conf.hdf5

indonesian:
indonesian_statue_l[0.00,-1.00,-0.40]_r[0.00,0.00,0.00]_v[0.61,0.37,0.81]_s[256]_l[256]_gs[1.00]_conf.hdf5
demo中imresize3D为128*128*1024的数据大小

serapis: 
serapis_l[0.00,-0.50,-0.41]_r[0.00,0.00,-1.57]_v[0.82]_s[256]_l[256]_gs[1.00]_conf.hdf5

spheres: 
spheres_l[0.00,-0.50,-0.64]_r[0.00,0.00,0.00]_v[0.68]_s[256]_l[256]_gs[1.00]_conf.hdf5

MHL:
MHLivingRoom_l[-3.09,-5.90,3.63]_r[0.00,0.00,0.00]_v[2.71]_s[256]_l[256]_gs[0.60]_conf.hdf5

scenes under ./zaragoza1/

staircase:
staircase_l[-0.76,1.73,3.32]_r[0.00,0.00,0.00]_v[3.21]_s[64]_l[64]_gs[3.20]_conf.mat

To run the code, run demo.m​ in ./matlab.

References

David B. Lindell, Gordon Wetzstein, and Matthew O’Toole. 2019. Wave-based non-line-of-sight imaging using fast f-k migration. ACM Trans. Graph. 38, 4, Article 116 (July 2019), 13 pages. DOI:https://doi.org/10.1145/3306346.3322937

Galindo, Miguel & Marco, Julio & O'Toole, Matthew & Wetzstein, Gordon & Gutiérrez, Diego & Jarabo, Adrián. (2019). A dataset for benchmarking time-resolved non-line-of-sight imaging. 1-2. 10.1145/3306214.3338583.

Sean I. Young, David B. Lindell, Bernd Girod, David Taubman, Gordon Wetzstein. 2020. Non-line-of-sight Surface Reconstruction Using the Directional Light-cone Transform. Proc. CVPR.

Dataset

Galindo, Miguel & Marco, Julio & O'Toole, Matthew & Wetzstein, Gordon & Gutiérrez, Diego & Jarabo, Adrián. (2019). A dataset for benchmarking time-resolved non-line-of-sight imaging. 1-2. 10.1145/3306214.3338583.

Main Sources of Code

https://github.com/computational-imaging/nlos-fk

https://github.com/computational-imaging/nlos-dlct

http://graphics.unizar.es/nlos_dataset.html