Information processing device, information processing method, and program
AssigneeMorgenrot Inc.
InventorsMasamichi NAKAMURA, Hirotaka INOUE
Life of this patent
Estimating the term…
Abstract
A depth data acquisition unit 50 acquires, for each of N (N is an integer value of two or more) viewpoints, depth data indicating the depth from a predetermined viewpoint to a feature point of an object. An implicit function generation unit 60 performs predetermined machine learning using N depth data to generate an implicit function S(r), which is a function of distance from an arbitrary viewpoint to a feature point on the surface of an object T.
Claims5
An information processing device comprising:
- a depth data acquisition unit that acquires, for each of N (N is an integer value of two or higher) viewpoints, a piece of depth data indicating a depth from a prescribed viewpoint to a feature point of an object;
- and
- a distance function generation unit that generates, by performing prescribed machine learning using the N pieces of depth data, a function for estimating a depth from an arbitrary viewpoint to a feature point on a surface of the object.
An information processing method comprising:
- a depth data acquisition step of acquiring, for each of N (N is an integer value of two or higher) viewpoints, a piece of depth data indicating a depth from a prescribed viewpoint to a feature point of an object;
- and
- a distance function generation step of generating, by performing prescribed machine learning using the N pieces of depth data, a function for estimating a distance from an arbitrary viewpoint to a feature point on a surface of the object.
A non-transitory computer readable medium storing a program for causing a computer to perform control processing comprising:
- a depth data acquisition step of acquiring, for each of N (N is an integer value of two or higher) viewpoints, a piece of depth data indicating a depth from a prescribed viewpoint to a feature point of an object;
- and
- a distance function generation step of generating, by performing prescribed machine learning using the N pieces of depth data, a function for estimating a distance from an arbitrary viewpoint to a feature point on a surface of the object.
Dependencies are inferred from the claim text.