Title :
Example Based 3D Reconstruction from Single 2D Images
Author :
Hassner, Tal ; Basri, Ronen
Author_Institution :
The Weizmann Institute of Science, Israel
Abstract :
We present a novel solution to the problem of depth reconstruction from a single image. Single view 3D reconstruction is an ill-posed problem. We address this problem by using an example-based synthesis approach. Our method uses a database of objects from a single class (e.g. hands, human figures) containing example patches of feasible mappings from the appearance to the depth of each object. Given an image of a novel object, we combine the known depths of patches from similar objects to produce a plausible depth estimate. This is achieved by optimizing a global target function representing the likelihood of the candidate depth. We demonstrate how the variability of 3D shapes and their poses can be handled by updating the example database on-the-fly. In addition, we show how we can employ our method for the novel task of recovering an estimate for the occluded backside of the imaged objects. Finally, we present results on a variety of object classes and a range of imaging conditions.
Keywords :
Batteries; Degradation; Graphical models; Humans; Image databases; Image reconstruction; Marine animals; Pattern matching; Rendering (computer graphics); Shape;
Conference_Titel :
Computer Vision and Pattern Recognition Workshop, 2006. CVPRW '06. Conference on
Print_ISBN :
0-7695-2646-2
DOI :
10.1109/CVPRW.2006.76