Shape Morphing Evaluation with DPCC Criterion

This project implements a shape morphing evaluation method using the Deformation Planar Curve Criterion (DPCC) criterion inspired by Ghorbel et al. work.

Features

• Shape morphing using interpolation (replaceable with GFID-morphing, SRVF, etc)
• DPCC criterion to evaluate quality of morph paths
• Procrustes-based alignment (no scale)
• Clean visualization of results

How to Run

pip install -r requirements.txt
python main.py

Citation

E. Ghorbel, F. Ghorbel and S. M’Hiri, "A Fast and Efficient Shape Blending by Stable and Analytically Invertible Finite Descriptors," in IEEE Transactions on Image Processing, vol. 31, pp. 5788-5800, 2022, doi: 10.1109/TIP.2022.3199105. keywords: {Shape;Strain;Stability criteria;Image reconstruction;Visualization;Interpolation;Visual perception;Shape blending;deformation;morphing criterion;DPCC},