“Consistent Depth Maps Recovery of Video via Object Segmentation” by Ho, Lin and Ouhyoung
Conference:
Type:
Entry Number: 31
Title:
- Consistent Depth Maps Recovery of Video via Object Segmentation
Presenter(s)/Author(s):
Abstract:
Video depth reconstruction is a long-term problem in computer vision. A fair amount of previous work adopts Markov random field model in depth estimation formulation. Various local prior terms are included into global smoothness of those optimization frameworks. However, the estimated depth discontinuities are usually not consistent with object boundaries and intra-object smoothing is not well achieved. Such problems are addressed in color segment-based methods but cannot be solved well when color segments exist across object boundaries or are not temporarily consistent.
References:
1. Bleyer, M., Rother, C., Kohli, P., Scharstein, D., and Sinha, S. 2011. Object stereo:joint stereo matching and object segmentation. 3081–3088.
2. Li, Y., Sun, J., and Shum, H.-Y. 2005. Video object cut and paste. ACM Transactions on Graphics (TOG) 24, 3, 595–600.
3. Zhang, G., Jia, J., Wong, T.-T., and Bao, H. 2008. Recovering consistent video depth maps via bundle optimization. 1–8.
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