20240021015. SYSTEM AND METHOD FOR SELECTING IMAGES FOR FACIAL RECOGNITION PROCESSING simplified abstract (REALNETWORKS LLC)
SYSTEM AND METHOD FOR SELECTING IMAGES FOR FACIAL RECOGNITION PROCESSING
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SYSTEM AND METHOD FOR SELECTING IMAGES FOR FACIAL RECOGNITION PROCESSING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240021015 titled 'SYSTEM AND METHOD FOR SELECTING IMAGES FOR FACIAL RECOGNITION PROCESSING
Simplified Explanation
The patent application describes technologies for determining the quality of a face image for facial recognition processing. The system analyzes the received image to identify facial features and calculates distances and dimensions of these features. Based on these calculations, regions in the face image are defined. A combined pixel contrast quality of the face image is then calculated by considering separate pixel contrast qualities for each region. If the combined pixel contrast quality meets certain criteria, the face image is determined to be of sufficient quality for facial recognition processing.
- Technologies for assessing the quality of face images for facial recognition processing are provided.
- The system analyzes the received image to identify facial features.
- Distances between facial features are determined and dimensions of regions for the features are calculated.
- Regions in the face image are defined based on the calculated dimensions.
- A combined pixel contrast quality of the face image is calculated by considering separate pixel contrast qualities for each region.
- The face image is determined to be of sufficient quality for facial recognition processing if the combined pixel contrast quality satisfies one or more criteria.
Potential Applications
- Facial recognition systems: This technology can be used in facial recognition systems to determine if a face image is of sufficient quality for accurate recognition.
- Biometric authentication: It can be applied in biometric authentication systems to assess the quality of face images used for identity verification.
- Surveillance systems: The technology can be utilized in surveillance systems to evaluate the quality of face images captured by cameras for identification purposes.
Problems Solved
- Quality assessment: The technology solves the problem of determining the quality of face images for facial recognition processing.
- Accuracy improvement: By evaluating the quality of face images, the technology helps improve the accuracy of facial recognition systems by filtering out low-quality images.
Benefits
- Enhanced facial recognition accuracy: By ensuring that only high-quality face images are used for processing, the technology improves the accuracy of facial recognition systems.
- Efficient processing: The system calculates the combined pixel contrast quality by considering separate qualities for different regions, allowing for efficient processing and assessment of face images.
- Versatile applications: The technology can be applied in various fields such as security, authentication, and surveillance, providing a versatile solution for quality assessment of face images.
Original Abstract Submitted
technologies are provided herein for determining if a face image is of sufficient quality for facial recognition processing. an image that contains a face image is received and analyzed to identify facial features of the face image. distances between the facial features are determined and dimensions of regions for the facial features are calculated based on those distances. a plurality of regions in the face image are defined based on the calculated dimensions. a combined pixel contrast quality of the face image is then calculated based on a combination of separate pixel contrast qualities for the plurality of regions. the face image is determined to be of sufficient quality for facial recognition processing in response to the combined pixel contrast quality satisfying one or more criteria.
