Information processing apparatus and method

An information processing apparatus, comprising

• circuitry configured to
• quantize first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• form a reference structure of the quantized first geometry data;
• derive second geometry data by performing, on the quantized first geometry data, at least one of
• a resampling operation that integrates a plurality of points, or
• refinement to move the at least one point;
• derive, based on the reference structure, a predicted value of the second geometry data;
• derive a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• code the predictive residual.

An information processing apparatus, comprising:

• circuitry configured to:
• form a reference structure of first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• derive second geometry data by performing refinement to move the at least one point;
• derive, based on the reference structure, a predicted value of the second geometry data;
• derive a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• code the predictive residual, wherein the refinement includes at least one of
• reduction of the predictive residual of a current node in the reference structure, or
• reduction of a sum of the predictive residual of the current node and the predictive residual of a child node of the current node in the reference structure.

An information processing apparatus, comprising:

• circuitry configured to
• form a reference structure of first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• derive second geometry data by performing refinement to move the at least one point so that an error is equal to or less than a specific threshold value;
• derive, based on the reference structure, a predicted value of the second geometry data;
• derive a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• code the predictive residual.

An information processing method, comprising:

• forming a reference structure of first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• deriving second geometry data by performing, in an order from a parent node to a child node in the reference structure, at least one of
• resampling that integrates a plurality of points, or
• refinement to move the at least one point;
• deriving, based on the reference structure, a predicted value of the second geometry data;
• derive a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• coding the predictive residual.

An information processing method, comprising

• quantizing first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• forming a reference structure of the quantized first geometry data;
• deriving second geometry data by performing, on the quantized first geometry data, at least one of
• resampling that integrates a plurality of points, or
• refinement to move the at least one point;
• deriving, based on the reference structure, a predicted value of the second geometry data;
• deriving a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• coding the predictive residual.

An information processing method, comprising:

• forming a reference structure of first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• deriving second geometry data by performing refinement to move the at least one point;
• deriving, based on the reference structure, a predicted value of the second geometry data;
• deriving a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• coding the predictive residual, wherein the refinement includes at least one of
• reducing the predictive residual of a current node in the reference structure, or
• reducing a sum of the predictive residual of the current node and the predictive residual of a child node of the current node in the reference structure.

An information processing method, comprising:

• forming a reference structure of first geometry data of a point cloud that represents a three-dimensional object as at least one point;
• deriving second geometry data by performing refinement to move the at least one point so that an error is equal to or less than a specific threshold value;
• deriving, based on the reference structure, a predicted value of the second geometry data;
• deriving a predictive residual that is a difference between the first geometry data and the predicted value;
• and
• coding the predictive residual.