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Abstract
We propose a new technique for computing dense scene flow from two handheld videos with wide camera baselines and different photometric properties due to different sensors or camera settings like exposure and white balance. Our technique innovates in two ways over existing methods: (1) it supports independently moving cameras, and (2) it computes dense scene flow for wide-baseline scenarios.We achieve this by combining state-of-the-art wide-baseline correspondence finding with a variational scene flow formulation. First, we compute dense, wide-baseline correspondences using DAISY descriptors for matching between cameras and over time. We then detect and replace occluded pixels in the correspondence fields using a novel edge-preserving Laplacian correspondence completion technique. We finally refine the computed correspondence fields in a variational scene flow formulation. We show dense scene flow results computed from challenging datasets with independently moving, handheld cameras of varying camera settings.
Original language | English |
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Title of host publication | Proceedings of the 2016 Fourth International Conference on 3D Vision |
Subtitle of host publication | 25–28 October 2016 Stanford, California, USA |
Place of Publication | Los Alamitos, CA, USA |
Publisher | IEEE |
Pages | 276-285 |
Number of pages | 10 |
ISBN (Print) | 978-1-5090-5407-7 |
DOIs | |
Publication status | Published - 25 Oct 2016 |
Event | International Conference on 3D Vision - Stanford University, Palo Alto, USA United States Duration: 25 Oct 2016 → 28 Oct 2016 http://3dv.stanford.edu/ |
Conference
Conference | International Conference on 3D Vision |
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Abbreviated title | 3DV |
Country/Territory | USA United States |
City | Palo Alto |
Period | 25/10/16 → 28/10/16 |
Internet address |
Fingerprint
Dive into the research topics of 'Dense Wide-Baseline Scene Flow From Two Handheld Video Cameras'. Together they form a unique fingerprint.Projects
- 1 Finished
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Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA)
Cosker, D. (PI), Bilzon, J. (CoI), Campbell, N. (CoI), Cazzola, D. (CoI), Colyer, S. (CoI), Fincham Haines, T. (CoI), Hall, P. (CoI), Kim, K. I. (CoI), Lutteroth, C. (CoI), McGuigan, P. (CoI), O'Neill, E. (CoI), Richardt, C. (CoI), Salo, A. (CoI), Seminati, E. (CoI), Tabor, A. (CoI) & Yang, Y. (CoI)
Engineering and Physical Sciences Research Council
1/09/15 → 28/02/21
Project: Research council