System and method for guiding a user to take a selfie
First Claim
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1. A system for improving the quality of a selfie, comprising:
- a. an image capture device;
b. a computer coupled to the image capture device, the computer comprising a non-transitory memory component with logic stored thereon, wherein the logic comprisesi) an image processing module that causes the computer to locate a face in a selfie captured by the image capture device and provided to the computer, locate at least one landmark facial feature present on the face, and normalize the selfie, andii) a selfie quality index (SQI) module that causes the computer to analyze the normalized selfie for a quality metric selected from occlusion, blur, distance-to-camera, facial expression, illumination, and combinations of these, wherein the system uses the analyzed image quality metric to generate an SQI score,iii) wherein the SQI module comprises a Blur Detection Module in the form of a CNN trained by a blur feature vector formed from at least one of a blur coefficient and a feature extracted from the last layer of an Alexnet CNN, wherein the blur coefficient is generated by taking the differences between Laplacian measures on the normalized image after several consecutive rounds of blurring; and
c. a display coupled to at least one of the image capture device and the computing device.
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Abstract
Systems and methods for improving the image quality of a selfie. The system and method include analyzing a selfie with image processing modules and selfie quality index modules. The image processing modules process the image using face and landmark detection techniques and face normalization techniques. The selfie quality index modules analyze the selfie for important image quality metrics and provide feature vectors that are used to generate a selfie quality index score. The selfie quality index score can be used to determine whether the selfie meet minimum threshold quality requirement for further analysis by the system for a skin condition.
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12 Claims
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1. A system for improving the quality of a selfie, comprising:
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a. an image capture device; b. a computer coupled to the image capture device, the computer comprising a non-transitory memory component with logic stored thereon, wherein the logic comprises i) an image processing module that causes the computer to locate a face in a selfie captured by the image capture device and provided to the computer, locate at least one landmark facial feature present on the face, and normalize the selfie, and ii) a selfie quality index (SQI) module that causes the computer to analyze the normalized selfie for a quality metric selected from occlusion, blur, distance-to-camera, facial expression, illumination, and combinations of these, wherein the system uses the analyzed image quality metric to generate an SQI score, iii) wherein the SQI module comprises a Blur Detection Module in the form of a CNN trained by a blur feature vector formed from at least one of a blur coefficient and a feature extracted from the last layer of an Alexnet CNN, wherein the blur coefficient is generated by taking the differences between Laplacian measures on the normalized image after several consecutive rounds of blurring; and c. a display coupled to at least one of the image capture device and the computing device. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12)
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Specification