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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Feiyang Cheng Hong Zhang Mingui Sun Helong Wang Ding Yuan |
| Copyright Year | 2014 |
| Description | Author affiliation: Image Process. Center, Beihang Univ., Beijing, China (Feiyang Cheng; Hong Zhang; Ding Yuan) || Lab. for Comput. Neurosci., Univ. of Pittsburgh, Pittsburgh, PA, USA (Mingui Sun) || Luoyang Electro-Opt. Equip. Res. Inst., Luoyang, China (Helong Wang) |
| Abstract | We propose a cross-trees structure to perform the non-local cost aggregation for dense stereo matching. The cross-trees structure consists of a horizontal-tree and a vertical-tree. Compared to other spanning trees, the significant superiority of the cross-trees is that the trees' constructions are efficient and independent on any local or global property. Moreover, the trees are exactly unique. By traversing the two crossed trees successively, a fast non-local cost aggregation algorithm is performed to filter the matching cost volume and then the disparity maps are established with the Winner-Take-All (WTA) strategy. Additionally, two different priors: edge prior and super pixel prior, are proposed to tackle the false smoothing at the depth boundaries. Hence, our method contains two different algorithms in terms of the cross-trees prior in this paper. Performance evaluation on the 27 Middlebury data sets shows that both our algorithms outperform the other two tree-based methods, namely minimum spanning tree (MST) and segment-tree (ST). By performing the non-local cost aggregation on different trees, MST, ST and our method all have competitive rankings on the Middlebury website compared to the local cost aggregation methods. |
| Starting Page | 208 |
| Ending Page | 213 |
| File Size | 504986 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781479952090 |
| ISSN | 10514651 |
| DOI | 10.1109/ICPR.2014.45 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-24 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Image segmentation Algorithm design and analysis Image color analysis Filtering algorithms Filtering Accuracy spanning trees stereo matching cost aggregation image filtering |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition |
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