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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Schraml, S. Belbachir, A.N. Bischof, H. |
| Copyright Year | 2015 |
| Description | Author affiliation: Inst. for Comput. Graphics & Vision, Graz Univ. of Technol., Graz, Austria (Bischof, H.) || Digital Safety & Security Dept., AIT Austrian Inst. of Technol., Vienna, Austria (Schraml, S.; Belbachir, A.N.) |
| Abstract | This paper presents a stereo matching approach for a novel multi-perspective panoramic stereo vision system, making use of asynchronous and non-simultaneous stereo imaging towards real-time 3D 360° vision. The method is designed for events representing the scenes visual contrast as a sparse visual code allowing the stereo reconstruction of high resolution panoramic views. We propose a novel cost measure for the stereo matching, which makes use of a similarity measure based on event distributions. Thus, the robustness to variations in event occurrences was increased. An evaluation of the proposed stereo method is presented using distance estimation of panoramic stereo views and ground truth data. Furthermore, our approach is compared to standard stereo methods applied on event-data. Results show that we obtain 3D reconstructions of 1024 × 3600 round views and outperform depth reconstruction accuracy of state-of-the-art methods on event data. |
| Starting Page | 466 |
| Ending Page | 474 |
| File Size | 2524530 |
| Page Count | 9 |
| File Format | |
| ISSN | 10636919 |
| e-ISBN | 9781467369640 |
| DOI | 10.1109/CVPR.2015.7298644 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2015-06-07 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Erbium Image reconstruction Optical imaging |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Vision and Pattern Recognition Software |
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