Equiarea Shape from Template Deformations Dataset

The Equiareal Shape from Template Deformations Dataset is a comprehensive collection of RGB-D real videos captured using Kinect V2, specifically designed for 3D deformable shape reconstruction and computer vision research. Developed through a collaboration between the University of Alcalá, University of Clermont-Auvergne, and EnCoV, this dataset provides structured experimental data supporting studies in deformation tracking, template-based reconstruction, and 3D vision.

Dataset Structure 📂

• Organized by Experiments – Each folder corresponds to a specific experiment analyzed in the Equiareal Shape from Template research paper.
• Files Included:
  ✅ RGB Images – High-quality image sequences for visual analysis.
  ✅ Depth Data – Captured using Kinect V2 for 3D reconstruction.
  ✅ MATLAB Files – Includes tracking data and ground truth annotations.

Applications 🎯

✅ 3D Deformable Shape Reconstruction 📐
✅ Computer Vision & AI-Based Tracking 🤖
✅ Template-Based Deformation Analysis 📊
✅ Machine Learning & Deep Learning Research 🧠

This dataset is sourced from Kaggle.