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Content Provider | IEEE Xplore Digital Library |
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Author | Ji, H. Fermuller, C. |
Copyright Year | 2005 |
Description | Author affiliation: Center for Autom. Res., Maryland Univ., College Park, MD, USA (Ji, H.; Fermuller, C.) |
Abstract | Structure from motion from single flow fields has been studied intensively, but the integration of information from multiple flow fields has not received much attention. Here we address this problem by enforcing constraints on the shape (surface normals) of the scene in view, as opposed to constraints on the structure (depth). The advantage of integrating shape is two-fold. First, we do not need to estimate feature correspondences over multiple frames, but we only need to match patches. Second, the shape vectors in the different views are related only by rotation. This constraint on shape can be combined easily with motion estimation, thus formulating motion and structure estimation from multiple views as a practical constrained minimization problem using a rank-3 constraint. Based on this constraint, we develop a 3D motion technique, which locates through color and motion segmentation, planar patches in the scene, matches patches over multiple frames, and estimates the motion between multiple frames and the shape of the selected scene patches using the image gradients. Experiments evaluate the accuracy of the 3D motion estimation and demonstrate the motion and shape estimation of the technique by super-resolving an image sequence. |
Sponsorship | IEEE Comput. Soc |
Starting Page | 663 |
Ending Page | 669 |
File Size | 459232 |
Page Count | 7 |
File Format | |
ISBN | 0769523722 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2005.190 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2005-06-20 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Shape Motion estimation Layout Cameras Parameter estimation Automation Educational institutions Motion segmentation Computer vision Image resolution shape and rotation 3D motion estimation integration of motion fields decoupling translation from rotation |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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