3D Human Model Reconstruction from Sparse Uncalibrated Views

Using a two-stage algorithm, the proposed technique can tackle the challenges of reconstructing high-quality 3D models of humans wearing regular clothes from sparse uncalibrated cameras. The proposed algorithm based on nonrigid dense correspondences (NRDC) requires fewer images than previous methods because it does not require an initial sparse matching. The authors validated the proposed algorithm using images from an existing dataset and images captured by a cell phone camera.