3D saliency based on sparse modelling and curvature flow

Description

This repository contains an implementation of "Robust and fast 3-D saliency mapping" proposed by Gerasimos Arvanitis, Aris Lalos and konstantinos Moustakas. The presented method was implemented in python by Stavros Nousias

Citation

Arvanitis, G., Lalos, A.S. and Moustakas, K., 2020. 
Robust and fast 3-D saliency mapping for industrial modeling applications. 
IEEE Transactions on Industrial Informatics, 17(2), pp.1307-1317.

@article{arvanitis2020robust,
  title={Robust and fast 3-D saliency mapping for industrial modeling applications},
  author={Arvanitis, Gerasimos and Lalos, Aris S and Moustakas, Konstantinos},
  journal={IEEE Transactions on Industrial Informatics},
  volume={17},
  number={2},
  pages={1307--1317},
  year={2020},
  publisher={IEEE}
}

Requirements

• Python 3.8
• collections
• numpy
• sklearn
• scipy
• time
• joblib
• random

Running the code

python saliencyGenerateRPCAGroundTruth.py

Configuration

rootdir = './'
modelsDir = 'data/'
modelFilename = 'joint.obj'

Results

Head model saliency map

Casting model saliency map