Compressed sensing system and method therefor
AssigneeHitachi, Ltd.
InventorKeisuke YAMAMOTO
Life of this patent
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Abstract
Three-dimensional sensing data is transferred efficiently by applying compressed sensing using dictionary learning. Conventional image-based lossy compression improves a feature according to which power is concentrated on low-frequency components and deterioration of three-dimensional information increases. By changing the decimation rates for the depth information and the color information and using a dictionary vector created from the other restoration result for restoration, the original result is reconstructed using a small data volume.
Claims12
A compressed sensing system for transmitting three-dimensional data as at least depth information or parallax information and color information, the system transmitting partially reduced data on a transmission side and restoring the data on a reception side based on a basis matrix and sparsity,
- wherein, at the time of restoration, the reception side obtains an additional basis vector from restoration information of the depth information or the parallax information and a restoration result of the color information, and uses the basis vector in restoration of at least one of the depth information or the parallax information, and the color information.
A compressed sensing method that, in a system for transmitting three-dimensional data as at least depth information or parallax information and color information, transmits partially reduced data on a transmission side and reconstructs the data on a reception side based on a basis matrix and sparsity,
- wherein, at the time of restoration, the reception side obtains an additional basis vector from restoration information of the depth information or the parallax information and a restoration result of the color information, and uses the basis vector in restoration of at least one of the depth information or the parallax information, and the color information.
Dependencies are inferred from the claim text.