Information processing apparatus, information processing method, and program
AssigneeCanon Kabushiki Kaisha
InventorsHisayoshi Furihata, Masahiro Suzuki, Akihiro Katayama, Masakazu Fujiki
Life of this patent
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Abstract
An information processing apparatus includes an acquiring unit configured to acquire first data and second data, a deriving unit configured to derive gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between partial data of the first data and partial data of the second data, and a propagating unit configured to propagate the correspondence data on the basis of the gradient data.
Claims15
An information processing apparatus comprising:
- an acquiring unit configured to acquire first data and second data;
- a deriving unit configured to derive gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between partial data of the first data and partial data of the second data;
- and
- a propagating unit configured to propagate the correspondence data on the basis of the gradient data.
An information processing apparatus comprising:
- an acquiring unit configured to acquire first data and second data from input data;
- a deriving unit configured to derive gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between the first data and the second data;
- and
- a propagating unit configured to propagate the correspondence data on the basis of the gradient data.
An information processing method comprising:
- acquiring first data and second data;
- deriving gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between partial data of the first data and partial data of the second data;
- and
- propagating the correspondence data on the basis of the gradient data.
An information processing method comprising:
- acquiring first data and second data from input data;
- deriving gradient data describing a gradient of correspondence data on the basis of the correspondence data describing a correspondence between the first data and the second data;
- and
- propagating the correspondence data on the basis of the gradient data.
Dependencies are inferred from the claim text.