Identification photo camera capable of performing human image posture photography prompting and human image posture detection method
A certificate camera and camera technology, applied in the field of certificate photo shooting and processing, can solve the problem of no professional certificate camera and so on.
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Embodiment 1
[0066] The ID camera is an APP (Application, application program) installed on the smart terminal. It can have an Android version and an iOS version. The image data obtained by real-time shooting, the useful area of the image is cropped according to the license standard, and the image information such as color, brightness, background, and biological characteristics of people has not been processed in any way.
[0067] However, the identification camera in this embodiment is aimed at the detection of portrait poses during the shooting process, and can provide shooting prompts according to the detection results of the portrait poses.
[0068] Such as figure 1 As shown, during the shooting process, the viewfinder will capture images according to the frame frequency set by the system and save them in the cache area in the form of preview frame images. The ID image feature recognition thread object will perform portrait feature extraction. The specific details of portrait feature...
Embodiment 2
[0112] Such as Figure 4 As shown, the present embodiment provides a method for detecting posture of a portrait, which is applied to an ID camera and includes the following steps:
[0113] S1. Acquire portrait feature data of the preview frame image; wherein, the portrait feature data includes eyes, nose, ears, mouth, face outline, torso outline, portrait outline, top of the head and chin feature data;
[0114] S2. Compare the acquired feature data of eyes, nose, ears, mouth, top of the head and chin with the preset standard features to judge whether the facial features are complete. If yes, the facial features are visible, and go to step S3; if not, the facial features are not It can be seen that the preset information is called for shooting prompts;
[0115] S3. Determine whether the size and position of the face meet the requirements according to the acquired feature data of eyes, ears, top of the head and chin, including:
[0116] S31. Establish a certificate standard de...
Embodiment 3
[0129] like Figure 5 As shown, the difference between the portrait posture detection method of the present embodiment and embodiment 2 lies in step S3, as follows:
[0130] S3. According to the obtained facial contour feature data, determine whether the size and position of the human face meet the requirements, specifically:
[0131] Determine whether the position of the face contour is within the preset standard face contour range, if not, the size and position of the face does not meet the requirements, call the preset information for shooting prompts; if so, calculate the area of the face contour, and judge the face Whether the outline area is within the preset area of the face outline, if yes, the size and position of the face meet the requirements, and go to step S4, if not, the size and position of the face does not meet the requirements, call the preset information for shooting prompts.
[0132] To sum up, the identification camera and method of the present invent...
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