IP Library Granted Patent US 11,682,128
Granted Patent B2
US 11,682,128 · App. 17/201,487 · Granted Jun 20, 2023

Face image processing device and face image processing program

Inventors: Shin-ichi Kojima (Nagakute, JP); Yuya Yamada (Kariya, JP); Shin Osuga (Kariya, JP); Koki Ueda (Kariya, JP); Yuta Kawai (Kariya, JP); Takashi Kato (Kariya, JP); Yoshiyuki Yamada (Kariya, JP)
Assignee: AISIN SEIKI KABUSHIKI KAISHA
G06T7/50G06T7/70G06V10/764G06V10/82G06V20/59G06V20/647G06V40/161G06V40/171G06T2207/20084G06T2207/30201
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Quick Facts
Patent No.
US 11,682,128
App. No.
17/201,487
Granted
Jun 20, 2023
Kind
B2
Abstract

A face image processing device, includes: an image coordinate system coordinate value derivation unit detecting an x-coordinate value and a y-coordinate value in an image coordinate system at a feature point of an organ of a face of a person in an image, and estimating a z-coordinate value, so as to derive three-dimensional coordinate values in the image coordinate system; a camera coordinate system coordinate value derivation unit deriving three-dimensional coordinate values in a camera coordinate system from the three-dimensional coordinate values in the image coordinate system derived by the image coordinate system coordinate value derivation unit; and a parameter derivation unit applying the three-dimensional coordinate values in the camera coordinate system derived by the camera coordinate system coordinate value derivation unit to a predetermined three-dimensional face shape model to derive a model parameter of the three-dimensional face shape model in the camera coordinate system.

Claims (23)

1. A face image processing device, comprising:

at least one processor configured to implement:

an image coordinate system coordinate value derivation unit configured to detect an x-coordinate value which is a horizontal coordinate value and a y-coordinate value which is a vertical coordinate value respectively in an image coordinate system at a feature point of an organ of a face of a person in an image acquired by imaging the face, and estimate a z-coordinate value which is a depth coordinate value in the image coordinate system, so as to derive three-dimensional coordinate values in the image coordinate system;

a camera coordinate system coordinate value derivation unit configured to derive three-dimensional coordinate values in a camera coordinate system from the three-dimensional coordinate values in the image coordinate system derived by the image coordinate system coordinate value derivation unit; and

a parameter derivation unit configured to apply the three-dimensional coordinate values in the camera coordinate system derived by the camera coordinate system coordinate value derivation unit to a predetermined three-dimensional face shape model to derive a model parameter of the three-dimensional face shape model in the camera coordinate system.

2. The face image processing device according to claim 1 , wherein

the image coordinate system coordinate value derivation unit is configured to derive the z-coordinate value by estimating the z-coordinate value using deep learning in parallel with the detection of the x-coordinate value and the y-coordinate value.

3. The face image processing device according to claim 1 , wherein

the three-dimensional face shape model is formed of a linear sum of an average shape and a basis, and the basis is separated into an individual difference basis, which is a component that does not change with time, and a facial expression basis, which is a component that changes with time, and

the model parameter includes a parameter of the individual difference basis and a parameter of the facial expression basis.

4. The face image processing device according to claim 3 , wherein

the model parameter further includes a position and orientation parameter indicating a position and an orientation of the face of the person as viewed from a camera that images the face of the person.

5. The face image processing device according to claim 1 , further comprising:

a face distance estimation unit configured to estimate a distance to the face of the person, wherein

the camera coordinate system coordinate value derivation unit is configured to derive the z-coordinate value in the camera coordinate system by using the distance estimated by the face distance estimation unit.

6. The face image processing device according to claim 1 , further comprising:

a coordinate correction unit configured to correct the z-coordinate value, which is derived by the image coordinate system coordinate value derivation unit, according to a position of the face in the image.

7. The face image processing device according to claim 1 , further comprising:

a weight setting unit configured to set independent weights for respective error evaluation values of the x-coordinate value, the y-coordinate value, and the z-coordinate value at each feature point of each organ of the face.

8. A face image processing program stored in a non-transitory computer readable medium configured to cause a computer to execute processing, the processing comprising:

detecting an x-coordinate value which is a horizontal coordinate value and a y-coordinate value which is a vertical coordinate value respectively in an image coordinate system at a feature point of an organ of a face of a person in an image acquired by imaging the face, and estimating a z-coordinate value which is a depth coordinate value in the image coordinate system, so as to derive three-dimensional coordinate values in the image coordinate system;

deriving three-dimensional coordinate values in a camera coordinate system from the derived three-dimensional coordinate values in the image coordinate system; and

applying the derived three-dimensional coordinate values in the camera coordinate system to a predetermined three-dimensional face shape model to derive a model parameter of the three-dimensional face shape model in the camera coordinate system.

Assignments (2)
CHANGE OF NAME Recorded Dec 23, 2021
From: AISIN SEIKI KABUSHIKI KAISHA
To: AISIN CORPORATION
Reel/Frame 058575/0964 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 15, 2021
From: KOJIMA, SHIN-ICHI; YAMADA, YUYA; OSUGA, SHIN; UEDA, KOKI; KAWAI, YUTA; KATO, TAKASHI; YAMADA, YOSHIYUKI
To: AISIN SEIKI KABUSHIKI KAISHA
Reel/Frame 055593/0592 →
Priority Claims (1)
JP 2020-066196 · Apr 1, 2020 · national
Continuity (1)
Related Publication 20210312648A1 · Oct 7, 2021