We present a closed-form solution to the problem of recovering the 3D shape of a non-rigid inelastic surface from 3D-to-2D correspondences. This lets us detect and reconstruct such a, surface by matching individual images against a reference configuration, which is in contrast to all existing approaches that require initial shape estimates and track deformations from image to image
Abstract—Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both a...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...
We present a closed-form solution to the problem of re-covering the 3D shape of a non-rigid potentia...
Trabajo presentado al CVPR 2009 celebrado en Miami del 20 al 25 de junio.We present a closed-form so...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
We show that by extending the Laplacian formalism, which was first introduced in the Graphics commun...
Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both ambiguous ...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
We present an unsupervised algorithm for registering 3D surface scans of an object undergoing signic...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
Abstract—Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both a...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...
We present a closed-form solution to the problem of re-covering the 3D shape of a non-rigid potentia...
Trabajo presentado al CVPR 2009 celebrado en Miami del 20 al 25 de junio.We present a closed-form so...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
We show that by extending the Laplacian formalism, which was first introduced in the Graphics commun...
Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both ambiguous ...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
We present an unsupervised algorithm for registering 3D surface scans of an object undergoing signic...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Recovering the 3D shape of deformable surfaces from single images is difficult because many differen...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
Non-rigid registration computes an alignment between a source surface with a target surface in a non...
Abstract—Recovering the 3D shape of a nonrigid surface from a single viewpoint is known to be both a...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...
Recent works have shown that 3D shape of non-rigid surfaces can be accurately retrieved from a singl...