A Head Pose Detection Method Based on Image Comparison and Heading Pose System

Abstract

The present invention relates to a head attitude detection method based on image comparison and heading attitude system. The present invention records and establishes a large number of face attitude data lists including face images and attitude information corresponding to the face images through the heading attitude system. When it is necessary to estimate the pose information of the face image, use the face recognition technology to compare the face image to be tested with each face image in the face pose data list one by one, and find the most similar face image to the face image to be tested. For the face image, the pose information of the closest face image is the pose information of the face image to be tested. The present invention establishes a face pose data list, reduces data errors during face image recognition and detection; solves the problem of correspondence between face images and pose information, improves detection accuracy and real-time performance; and can be applied to automatic identity recognition , video surveillance systems and other fields.

Description

technical field

[0001] The invention relates to a head attitude detection method based on image comparison and heading attitude system, which belongs to the intersection field of computer vision and human-computer interaction. Background technique

[0002] In the traditional field of computer vision, such as face detection, face recognition, expression recognition, etc., methods based on frontal face detection and recognition have developed rapidly and have high recognition and detection rates. However, due to the diversity of detected target poses, the performance effect often drops sharply or even fails. Therefore, as a key technology of face recognition, face pose estimation has received great attention and rapid development. At present, the existing face pose detection methods can be roughly divided into two categories: the first is a learning method based on 2D face appearance, which tries to establish a mapping relationship between 2D face appearance features and 3D f...

Examples

Embodiment 1

[0036] A head attitude detection method based on image comparison and heading attitude system, the specific steps include:

[0037] A. Through the new architecture, establish a face pose database of M measured objects

[0038] (1) Establish a face pose database for the measured object m, m=0;

[0039] (2) Take the head center of the measured object m as the coordinate origin, and establish a rotation plane with [-π, π] of the Roll axis, Yaw axis, and Pitch axis respectively;

[0040] (3) Fix the heading and attitude system on the front of the head of the measured object m, and detect the face attitude in real time; ensure the real-time and accuracy of the attitude information.

[0041] (4) Capture the front face image of the measured object m through the heading and attitude system, and record the attitude information A of the front face image of the measured object m 0 [a 0 ,b 0 ,c 0 ], where a 0 refers to the angle between the frontal face of the measured object m and ...

Embodiment 2

[0051] According to the head attitude detection method based on image comparison and heading attitude system described in Embodiment 1, the difference is that in the step (5), the rotation range is 2°, and the head of the measured object m is Within the allowable rotation range, the head of the measured object m rotates on the Roll axis, Yaw axis, and Pitch axis, and a large number of face images are captured in real time, and the posture information A corresponding to the face images is recorded in real time i [a i ,b i ,c i ], with m as the keyword, enter the face pose data list. The face recognition technology is eigenface.

Embodiment 3

[0053] According to a head attitude detection method based on image comparison and heading attitude system described in Embodiment 1, the difference is that in the step (5), the rotation range is 1.5°, and the head of the measured object m Within the allowable rotation range, the head of the measured object m rotates on the Roll axis, Yaw axis, and Pitch axis, and a large number of face images are captured in real time, and the posture information A corresponding to the face images is recorded in real time i [a i ,b i ,c i ], with m as the keyword, enter the face pose data list. The face recognition technology is eigenface.

technical field

[0001] The invention relates to a head attitude detection method based on image comparison and heading attitude system, which belongs to the intersection field of computer vision and human-computer interaction. Background technique

[0002] In the traditional field of computer vision, such as face detection, face recognition, expression recognition, etc., methods based on frontal face detection and recognition have developed rapidly and have high recognition and detection rates. However, due to the diversity of detected target poses, the performance effect often drops sharply or even fails. Therefore, as a key technology of face recognition, face pose estimation has received great attention and rapid development. At present, the existing face pose detection methods can be roughly divided into two categories: the first is a learning method based on 2D face appearance, which tries to establish a mapping relationship between 2D face appearance features and 3D f...

Examples

Embodiment 1

[0036] A head attitude detection method based on image comparison and heading attitude system, the specific steps include:

[0037] A. Through the new architecture, establish a face pose database of M measured objects

[0038] (1) Establish a face pose database for the measured object m, m=0;

[0039] (2) Take the head center of the measured object m as the coordinate origin, and establish a rotation plane with [-π, π] of the Roll axis, Yaw axis, and Pitch axis respectively;

[0040] (3) Fix the heading and attitude system on the front of the head of the measured object m, and detect the face attitude in real time; ensure the real-time and accuracy of the attitude information.

[0041] (4) Capture the front face image of the measured object m through the heading and attitude system, and record the attitude information A of the front face image of the measured object m 0 [a 0 ,b 0 ,c 0 ], where a 0 refers to the angle between the frontal face of the measured object m and ...

Embodiment 2

[0051] According to the head attitude detection method based on image comparison and heading attitude system described in Embodiment 1, the difference is that in the step (5), the rotation range is 2°, and the head of the measured object m is Within the allowable rotation range, the head of the measured object m rotates on the Roll axis, Yaw axis, and Pitch axis, and a large number of face images are captured in real time, and the posture information A corresponding to the face images is recorded in real time i [a i ,b i ,c i ], with m as the keyword, enter the face pose data list. The face recognition technology is eigenface.

Embodiment 3

[0053] According to a head attitude detection method based on image comparison and heading attitude system described in Embodiment 1, the difference is that in the step (5), the rotation range is 1.5°, and the head of the measured object m Within the allowable rotation range, the head of the measured object m rotates on the Roll axis, Yaw axis, and Pitch axis, and a large number of face images are captured in real time, and the posture information A corresponding to the face images is recorded in real time i [a i ,b i ,c i ], with m as the keyword, enter the face pose data list. The face recognition technology is eigenface.