11 results about "Face size" patented technology

The embodiment of the present application provides a kind of face size determination method and device, wherein the method comprises: the first test face image of the target to be measured is collected, wherein the first test face image includes the first test face of the target to be measured and circular reference object;First pixel value of the first test face is obtained, and the second pixel value of the circular reference object is obtained;In the case where the circularity of the circular reference object is greater than the preset circularity threshold, the horizontal tilt angle and the vertical tilt angle of the circular reference object are obtained according to the standard major axis of the circular reference object;According to the first pixel value, the second pixel value, the horizontal tilt angle, the vertical tilt angle and the actual size of the circular reference object, the first size of the first test face is determined.The actual size of the circular reference object, the tilt angle and the pixel value in the first test face image are used to determine the first size of the first test face in the embodiment of the present application, which simplifies the measurement operation steps in the prior art and improves the accuracy of measuring the size of the face.

The utility model relates to a pair of glasses convenient to adjust, which comprises a glasses frame and is characterized in that glasses legs integrally formed with the glasses frame are arranged on the glasses frame, and an elastic piece fixedly connected with the glasses frame and the glasses legs is arranged at one end, close to the glasses frame, of each glasses leg. The protruding part can be attached to the head of the human body, due to the fact that an elastic piece is arranged in the protruding part, the effect of second-time adjustment can be achieved, matching of the human faces of the different sizes is facilitated, the situation that after a user with the small face wears the mask, the mask is prone to falling off, and the mask cannot be damaged is avoided. And a user with a large face cannot wear or feels painful.

This invention discloses a face detection method and apparatus, belonging to the field of face recognition technology. The method includes: inputting the image to be detected into a pre-trained target detection model for detection, and obtaining face recognition results. The target detection model is based on the YOLOv8n model, using the RepViT-M0_9 model to replace the original backbone module for feature extraction. A P2 layer is introduced into the Neck module of the YOLOv8n model to enhance feature fusion for small targets, and the bounding box loss function CIoU of the YOLOv8n model is replaced with the loss function FPIoU2. This invention exhibits higher detection accuracy and robustness, effectively recognizing faces of different sizes and stably detecting faces in complex backgrounds. It significantly improves the model's detection performance for small targets and is widely applicable to application scenarios with dense crowds and significant differences in face size.

The application provides a face optimal frame selection method and device and electronic equipment. The method calculates the quality score of a face picture by face detection confidence, face size, face Euler angle, face blocking degree and face blur degree. For the same ID face, the quality score calculated in the current frame picture is defined as the first quality score, the quality score calculated in the optimal frame determined before the current frame is defined as the second quality score, the first quality score is compared with the second quality score, if the first quality score is greater than or equal to the second quality score, the optimal frame is replaced by the current frame, otherwise, the optimal frame remains unchanged. When the time length of the face tracking model losing one ID face exceeds the preset time threshold, the face image of the optimal frame is output, the face optimal frame under the same monitoring picture can be automatically recognized and selected, and then the storage amount is reduced by storing the face optimal frame, and the face searching efficiency is improved.

The application discloses an effective face detection method, device and equipment, a storage medium and a program product, and is applied to the field of image detection. The method comprises the following steps: obtaining a to-be-detected person image and a downstream task type; inputting the to-be-detected person image into an effective face recognition model to obtain face coordinate information of each face in the to-be-detected person image and a face out-of-focus blur score; determining a face size of the face according to the face coordinate information; screening a first effective face with a face size greater than a preset face size threshold from the faces; in the case that the number of the first effective face is greater than a preset threshold, classifying the first effective face according to the face out-of-focus blur score of the first effective face to obtain an in-focus face category and / or an out-of-focus face category; and determining the first effective face belonging to the in-focus face category as a target effective face. According to the embodiment of the application, the efficiency of effective face detection can be improved, and the computing resources can be saved.

The present application provides a kind of face exposure adjustment method, comprising: S1, obtaining face region coordinate;S2, face coordinate processing: including: excluding face: select the main face as the face that needs to be carried out face exposure;Adjust face size: the region of doing face exposure is cropped, ensure that the region of face exposure is all face without background;Face anti-shake: prevent face shaking and lead to exposure position inaccuracy;S3, calculate the brightness of face region and picture: according to the brightness histogram of face region and whole image respectively, through the proportion of over-bright point, over-dark point and normal brightness point of brightness histogram, the brightness of face and whole picture is calculated;S4, obtain basic brightness: obtain basic target brightness according to current EV and EV table;S5, calculate target brightness: according to the brightness of whole image, obtain the final face target brightness;S6, brightness takes effect: according to face target brightness, image brightness is exposed to appropriate brightness.

The utility model discloses an ophthalmology vision testing device, which comprises a support, two poking devices, two baffle plates and an adjusting device, the two poking devices respectively comprise a poking plate and a connecting component, and the poking plate is rotatably arranged on one side of the support; the connecting assembly is rotatably arranged on one side of the support, and one end of the connecting assembly is connected with one end of the shifting plate; the two shielding plates are rotatably arranged on the support, and one ends of the two shielding plates are connected with the other end of the connecting assembly. Therefore, through simple plate shifting operation, a user can easily cover and expose eyes, the vision detection efficiency is improved, the device can be tightly attached to the face sizes and shapes of different individuals through the design of the adjusting stretching mechanism, the test comfort and accuracy are improved, and the practicability is high. The adaptive design is beneficial to meeting the requirements of people of different age groups and facial features.

The invention discloses an effective face detection method and device, equipment, a storage medium and a program product, and is applied to the field of image detection. The method comprises the following steps: acquiring a to-be-detected figure image and a downstream task type; inputting the to-be-detected figure image into the effective face recognition model to obtain face coordinate information and a face virtual focus fuzzy score of each face in the to-be-detected figure image; determining the face size of the face according to the face coordinate information; screening out a first effective face of which the face size is greater than a preset face size threshold value from the faces; when the number of the first effective faces is greater than a preset threshold value, classifying the first effective faces according to the face virtual focus fuzzy scores of the first effective faces to obtain an in-focus face category and / or an out-of-focus face category; and determining the first effective face belonging to the in-focus face category as a target effective face. According to the embodiment of the invention, the efficiency of effective face detection can be improved, and meanwhile, computing resources are saved.

The application provides a face image tracking method and device, and a computer readable medium, the method comprising the steps of: obtaining face size information and face position information from an image (S100); calculating target display frame size information according to the face size information (S200), and obtaining current frame display frame size information according to at least the target display frame size information; calculating target display frame position information according to the face size information, the face position information and the current frame display frame size information (S300), and obtaining current frame display frame position information according to at least the target display frame position information; obtaining window image information according to the current frame display frame size information and the current frame display frame position information (S400); and displaying a target image corresponding to the window image information (S500). The application can make face image display more stable and improve user experience.

Provided in the embodiments of the present description are a mask selection method and system, and an electronic device and a computer-readable storage medium. The mask selection method comprises: acquiring mask wearing information of a user, wherein the mask wearing information at least comprises information related to the facial size of the user; and on the basis of the mask wearing information, determining a target mask specification.