The emerging capability to 3D print a diverse palette of functional inks will enable the mass
democratization of patient-specific wearable devices and smart biomedical implants for …

Background The intra‐operative three‐dimensional (3D) structure of tissue organs and
laparoscope motion are the basis for many tasks in computer‐assisted surgery (CAS), such …

Existing approaches to nonrigid structure from motion assume that the instantaneous 3D
shape of a deforming object is a linear combination of basis shapes. These bases are object …

Recovering the spatial layout of the cameras and the geometry of the scene from extreme-
view images is a longstanding challenge in computer vision. Prevailing 3D reconstruction …

This paper describes a new algorithm for recovering the 3D shape and motion of deformable
and articulated objects purely from uncalibrated 2D image measurements using an iterative …

We propose a new approach to simultaneously recover camera pose and 3D shape of non-
rigid and potentially extensible surfaces from a monocular image sequence. For this …

Non-rigid structure from motion is a fundamental problem in computer vision, which is yet to
be solved satisfactorily. The main difficulty of the problem lies in choosing the right …

We address the problem of deformable shape and motion recovery from point
correspondences in multiple perspective images. We use the low-rank shape model, ie the …

In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular
video sequences as a labeling problem. We solve simultaneously for the assignment of …

In factorization approaches to nonrigid structure from motion, the 3D shape of a deforming
object is usually modeled as a linear combination of a small number of basis shapes. The …