High-resolution augmentation for automatic template-based matching of human models
We propose a new approach for 3D shape matching of deformable human shapes. Our approach is based on the joint adoption of three different tools: An intrinsic spectral matching pipeline, a morphable model, and an extrinsic details refinement. By operating in conjunction, these tools allow us to greatly improve the quality of the matching while at the same time resolving the key issues exhibited by each tool individually.