Face recognition system
AssigneeMassachusetts Institute of Technology
InventorsMatthew Turk, Alex P. Pentland
Life of this patent
Estimating the term…
Abstract
A recognition system for identifying members of an audience, the system including an imaging system which generates an image of the audience; a selector module for selecting a portion of the generated image; a detection means which analyzes the selected image portion to determine whether an image of a person is present; and a recognition module responsive to the detection means for determining whether a detected image of a person identified by the detection means resembles one of a reference set of images of individuals.
Claims21
A recognition system for identifying members of an audience, the system comprising:
- an imaging system which generates an image of the audience;
- a selector module for selecting a portion of said generated image;
- means for representing a reference set of images of individuals as a set of eigenvectors in a multi-dimensional image space;
- a detection means which determines whether the selected image portion contains an image that can be classified as an image of a person, said detection means including means for representing said selected image portion as an input vector in said multi-dimensional image space and means for computing the distance between a point identified by said input vector and a multi-dimensional subspace defined by said set of eigenvectors, wherein said detection means uses the computed distance to determine whether the selected image portion contains an image that can be classified as an image of a person;
- and
- a recognition module responsive to said detection means for determining whether a detected image of a person identified by said detection means resembles one of the reference set of images of individuals.
A method for identifying members of an audience, the method comprising:
- generating an image of the audience;
- selecting a portion of said generated image;
- representing a reference set of images of individuals as a set of eigenevectors in a multi-dimensional image space;
- representing said selected image portion as an input vector in said multi-dimensional image space;
- computing the distance between a point identified by said input vector and a multi-dimensional subspace defined by said set of eigenvectors;
- using the computed distance to determine whether the selected image portion contains an image that can be classified as an image of a person;
- and
- if it is determined that the selected image contains an image that can be classified as an image of a person determining whether said image of a person resembles one of a reference set of images of individuals.
Dependencies are inferred from the claim text.