Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10361780 | Pattern Recognition Letters | 2005 | 11 Pages |
Abstract
Given an image sequence recorded by a hand-held camera we examine the computation of a light field without any further input data. Using structure-from-motion algorithms and optimization techniques camera motion and a 3-D reconstruction of the scene are established. The light field is completed by computing local depth information for each input image. During experimental evaluation a special focus is set on the effects of falsely estimated intrinsic parameters as well as different depth representations on the quality of the resulting light fields.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Heinrich Niemann, Ingo Scholz,