Face detection and recognition method, device and system
A technology of face detection and recognition method, which is applied in character and pattern recognition, image enhancement, image analysis, etc. It can solve the problems of not particularly accurate depth information, very high performance requirements of computing units, and large errors, and achieve high detection and recognition rate effect
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Embodiment 1
[0037] figure 1 The face detection and recognition method of this embodiment is shown. In the face detection and recognition method, the following steps are included:
[0038] In step S110, a human face area is detected from the acquired two-dimensional image. A two-dimensional image can use an ordinary color camera to take a color picture of a person, and then perform face area detection on the color picture.
[0039] The detection of the face area can use the face detection method based on the feature, the template matching method and the adaboost algorithm. Feature-based face detection methods include overall contour method, skin color detection method and organ distribution method; template matching methods include mosaic method (also known as mosaic method), predetermined template matching method and deformation template method.
[0040] The face detection algorithm based on skin color has a high encounter rate, and it is easy to misjudge non-face skin color areas (hand...
Embodiment 2
[0080] figure 2 The face detection and recognition device 200 of this embodiment is shown. In the face detection and recognition device 200, it includes: a face area detection module 210, which detects the face area from the two-dimensional image obtained; a three-dimensional image data acquisition module 220, which combines the two-dimensional image data and the two-dimensional image data of the face area The obtained depth image data is projected into the same coordinate system to obtain three-dimensional image data; the face judgment module 230 uses the three-dimensional image data to perform overall concave-convex curvature detection and multiple local concave-convex curvature detections, and in the overall concave-convex curvature When the degree is within the first predetermined range, it is determined whether the local weighted concave-convex curvature obtained from a plurality of local concave-convex curvatures is within the second predetermined range, and if the loca...
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