Non-Rigid Structure from Motion (NRSfM) is a field within computer vision that focuses on reconstructing 3D shapes of deformable objects from 2D image sequences. This area of research is crucial for ...

This paper presents an algorithm for non-rigid registration of contrast-enhanced breast MR image sequences. The authors propose a model incorporating both global transformations (represented by affine ...

Japanese scientists report in Pattern Recognition a new method to construct 3D models from 2D images. The approach, which involves non-rigid registration with a blending of rigid transforms, overcomes ...

Despite advances in 3D imaging such as MRI and CT, scientists still rely on slicing a specimen into 2D sections to acquire the most detailed information. Using this information, they then try to ...