Publication

Capturing 3D stretchable surfaces from single images in closed form

Conference Article

Conference

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Edition

2009

Pages

1842-1849

Doc link

http://dx.doi.org/10.1109/CVPRW.2009.5206758

File

Download the digital copy of the doc pdf document

Abstract

We present a closed-form solution to the problem of recovering the 3D shape of a non-rigid potentially stretchable surface from 3D-to-2D correspondences. In other words, we can reconstruct a surface from a single image without a priori knowledge of its deformations in that image. State-of-the-art solutions to non-rigid 3D shape recovery rely on the fact that distances between neighboring surface points must be preserved and are therefore limited to inelastic surfaces. Here, we show that replacing the inextensibility constraints by shading ones removes this limitation while still allowing 3D reconstruction in closed-form. We demonstrate our method and compare it to an earlier one using both synthetic and real data.

Categories

computer vision, object detection, pose estimation.

Author keywords

deformable surfaces, 3D reconstruction

Scientific reference

F. Moreno-Noguer, M. Salzmann, V. Lepetit and P. Fua. Capturing 3D stretchable surfaces from single images in closed form, 2009 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2009, Miami, pp. 1842-1849, IEEE.