Detection Method of Rotated Face Based on Online Prediction
A technology of face detection and prediction algorithm, which is applied in the direction of instruments, character and pattern recognition, computer components, etc., to achieve the effects of ensuring real-time performance, improving robustness, and enhancing robustness
Active Publication Date: 2017-10-10
PLA NAVY GENERAL HOSIPTAL +1
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[0012] For the face rotation caused by tilting the head to the left or right in the same plane, the horizontal and vertical textures of the face image will change, and the originally obtained rectangular Haar feature can no longer be used to detect people in this rotation. Face
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[0047] Such as figure 1 It is a flow chart of a face detection method based on online prediction. In the process of the present invention, processing is performed after taking or inputting an image.
[0048] Such as Figure 5 , the camera device uses a CCD that collects images in both odd and even fields, and arranges a circle of near-infrared LEDs around the CCD at a close distance, and at the same time arranges a row of near-infrared LEDs along the vertical direction on both sides that are relatively far away from the CCD. The bright pupil effect will appear in odd-field images, but not in even-field images. The distance from the face to the camera device is generally between 50 cm and 150 cm. By making a difference between the two fields of the same frame image, the eye area will show a large gray value difference, so that the approximate position of the face can be obtained.
[0049] The rotation face detection method based on online prediction proposed by the present i...
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The invention discloses a detection method of rotating human face based on online prediction. The online prediction of face rotation includes the follow steps: (1) according to the human faces of different rotation angles, constructing a classifier corresponding to the rotation angle range on the basis of the Adaboost method, to acquire different cascade detecting structures; and (2) for an image sub-window to be detected, detecting the candidate face area in turn according to the change angles, performing classification detection on the front strong classifiers of the cascade detecting structures of every angle, determining the rotation angle of the area by a threshold comparison method; and for the image sub-window to be detect in the step (2), performing classification detection on the back strong classifier of the cascade detecting structures corresponding to the rotation angle of the human face determined in the step (2), determining whether the sub-window is the human face image under the rotation angle or not. Filtering and tracking of the human face comprises that the template matching and the filtering algorithm are used to optimize the location of the human face area after locating the human face area.
Description
technical field [0001] The invention relates to a method for detecting a rotated human face, in particular to a method for detecting a rotated human face based on online prediction used by a video device, and belongs to the technical fields of image processing and pattern recognition. Background technique [0002] Face detection is a very challenging topic with important theoretical research value and application value. In particular, it refers to checking whether there is a rotated face in an image. If so, it is necessary to further determine the position and scale of the face, and then use a polygon or circular frame to mark the area of the face. Its potential applications include identification, image search, human-computer interaction, artificial intelligence and many other aspects. [0003] The research on face detection has a long history. The earliest research work can be traced back to the 1940s, but the real development has been in the last 20 years. There are u...
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IPC IPC(8): G06K9/00
Inventor 李鸣皋王元庆徐建中孙文晋曹利群韩磊周必业
Owner PLA NAVY GENERAL HOSIPTAL