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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Junyu Han Fei Qi Guangming Shi |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Electronic Engineering, Xidian University, Xi'an, Shaanxi, 710071, P. R. China (Junyu Han; Fei Qi; Guangming Shi) |
| Abstract | This paper introduces a new sparse model for robust and reliable optical flow estimation. We show that the sparsity is directly related to gradient fields of optical flow. According to theory on sparse signal recovery, we rigorously formulate the optical flow estimation as an ℓ0 optimization problem. Considering the piecewise continuous nature of motion, the basic optical flow constraint is regularized by an ℓ1 norm. Then, with convex relaxation, the solution is obtain via the ordinary or reweighted ℓ1 optimization approach. Experimental results show the proposed method performs better than traditional methods and deals well with the discontinuities on motion boundaries. |
| Starting Page | 2341 |
| Ending Page | 2344 |
| File Size | 713398 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457713040 |
| ISSN | 15224880 |
| e-ISBN | 9781457713033 |
| e-ISBN | 9781457713026 |
| DOI | 10.1109/ICIP.2011.6116110 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-09-11 |
| Publisher Place | Belgium |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Optical imaging Optical sensors Optimization Estimation Computer vision Optical variables control Integrated optics Reweighted 11 Optimization Optical Flow Sparse Compressive Sensing |
| Content Type | Text |
| Resource Type | Article |
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