View interpolation for image synthesis
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Proceedings of the 25th annual conference on Computer graphics and interactive techniques
Proceedings of the 27th annual conference on Computer graphics and interactive techniques
Unstructured lumigraph rendering
Proceedings of the 28th annual conference on Computer graphics and interactive techniques
A Geometric Analysis of Light Field Rendering
International Journal of Computer Vision - Special Issue on Research at Microsoft Corporation
High-quality video view interpolation using a layered representation
ACM SIGGRAPH 2004 Papers
Survey of image-based representations and compression techniques
IEEE Transactions on Circuits and Systems for Video Technology
Spectral analysis for sampling image-based rendering data
IEEE Transactions on Circuits and Systems for Video Technology
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Depth inaccuracy greatly affects the quality of free-viewpoint image synthesis. A theoretical framework for a simplified view interpolation setup to quantitatively analyze the effect of depth inaccuracy and provide a principled optimization scheme based on the mean squared error metric is proposed. The theory clarifies that if the probabilistic distribution of disparity errors is available, optimal view interpolation that outperforms conventional linear interpolation can be achieved. It is also revealed that under specific conditions, the optimal interpolation converges to linear interpolation. Furthermore, appropriate band-limitation combined with linear interpolation is also discussed, leading to an easy algorithm that achieves near-optimal quality. Experimental results using real scenes are also presented to confirm this theory.