Funder
Max Planck Institute for Informatics
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Computer Vision and Pattern Recognition,Software
Reference35 articles.
1. Ahmed, N., Theobalt, C., Dobrev, P., Seidel. H. P., & Thrun, S. (2008). Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry. In IEEE conference on computer vision and pattern recognition, 2008. CVPR 2008 (pp. 1–8). IEEE
2. Allain, B., Franco, J. S., & Boyer, E. (2015). An efficient volumetric framework for shape tracking. In CVPR 2015—IEEE international conference on computer vision and pattern recognition, Boston
3. Ballan, L., & Cortelazzo, G. M. (2008). Marker-less motion capture of skinned models in a four camera set-up using optical flow and silhouettes. In 3DPVT
4. Bradley, D., Popa, T., Sheffer, A., Heidrich, W., & Boubekeur, T. (2008). Markerless garment capture. ACM Transactions on Graphics, 27(3), 1–9.
5. Brox, T., Bruhn, A., Papenberg, N., & Weickert, J. (2004). High accuracy optical flow estimation based on a theory for warping. Berlin: Springer.
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