This repository contains MATLAB code accompanying the paper titled "Object Detection under the Linear Subspace Model" (xxx put link).
The functions are implemented in MATLAB and do not require any external packages.
- Add the folder to your MATLAB directory.
- Run
main.m
.
The code will generate figures stored in a directory named 'figs' within the same installed path.
- Running time on a Linux machine with 16 cores running at 2.1GHz, 768GB of memory, and an Nvidia Titan GPU, without pre processing, is approximately 35 minuets.
- Running time on MacBook Pro 14 with 8 cores running at 3.2GHz without the GPU and with pre processing is approximately 97 minutes.
Please cite the following papers when using the code
A. Eldar,K. Mor, S. Devenport,T. Bendory, A. Schwartzman and Y. Shkolnisky. Object detection under the linear subspace model $$$.
Z. Zhao, Y. Shkolnisky, A. Singer, Fast Steerable Principal Component Analysis, IEEE Transactions on Computational Imaging, 2 (1), pp. 1-12 (2016). PMID: 27570801 [PubMed] PMCID: PMC4996495.