3d Skeleton Estimation and Morphing of Dogs From a Set of Images

We propose a unified pipeline for estimating and morphing 3D dog meshes from a set of images. Our pipeline consists of four main stages: dataset preparation and standardization of 3D dog meshes with texture mapping and multi-view screenshot generation, 2D keypoint detection using trained YOLOv8 models followed by 3D reconstruction via Perspective-n-Point algorithms, statistical shape modeling through PCA-based morphological analysis , and iterative mesh morphing with skeleton-guided optimization.