Human facial detection and recognition system
Aspects of the present disclosure provide an image-based face detection and recognition system that processes and/or analyzes portions of an image using “image strips” and cascading classifiers to detect faces and/or various facial features, such an eye, nose, mouth, cheekbone, jaw line, etc.
1. A method for detecting faces comprising:
detecting, using one or more computing devices, at least a portion of a face from at least one image of a sequence of images by applying a plurality of image strips to the sequence of images, the plurality of image strips together forming a particular curvature and a particular pattern, each image strip of the plurality of image strips having a same width, and determining at least one of an edge-like feature of the face and a ridge-like feature of the face by:
generating, using the one or more computing devices, a mapping of facial points corresponding to the at least one image by:
generating a plurality of points on an image plane corresponding to the at least one image and determining a distance between each point to the plurality of points, each point corresponding to the at least one of the edge-like feature of the face and the ridge-like feature of the face;
projecting the plurality of points from the image plane to a surface of a face model;
mirroring the plurality of points using facial symmetry;
identifying, using the one or more computing devices, a match for the mapping of facial points by comparing the distance between each point to the plurality of points and the mapping of facial points to a recognized image stored in a database; and
triggering, using the one or more computing devices, an alert of the match and transmitting the alert for display to a user computer device.
2. The method of claim 1 further comprising receiving high definition video from images from at least one high-definition camera; and
capturing snapshots of the high definition video to generate the sequence of images.
3. The method of claim 1 wherein detecting the at least a portion of the face comprises applying a cascade classifier to the sequence of images.
4. The method of claim 1 , further comprising compressing the sequence of images by re-using identical image data captured in respective images of the sequence of images.
5. The method of claim 1 , further comprising storing an indication in a database when the match is identified and providing the alert to the user computing device.
6. A system for detecting faces comprising:
memory storing computer-readable instructions for detecting faces; and
at least one processor to execute the computer-readable instructions to:
detect at least a portion of a face from at least one image of a sequence of images to apply a plurality of image strips to the sequence of images, the plurality of image strips together forming a particular curvature and a particular pattern, each image strip of the plurality of image strips having a same width, and determine at least one of an edge-like feature of the face and a ridge-like feature of the face to:
generate a mapping of facial points corresponding to the at least one image by:
generating a plurality of points on an image plane corresponding to the at least one image and determining a distance between each point to the plurality of points, each point corresponding to the at least one of the edge-like feature of the face and the ridge-like feature of the face;
projecting the plurality of points from the image plane to a surface of a mean shape;
identify a match for the mapping of facial points by comparing the distance between each point to the plurality of points and the mapping of facial points to an image stored in a database; and
trigger an alert of the match and transmit the alert for display to a user computer device.
7. The system of claim 6 , the at least one processor further to receive high definition video from images from at least one high-definition camera; and
capture snapshots of the high definition video to generate the sequence of images.
8. The system of claim 6 , wherein the at least one processor to detect the at least a portion of the face comprises applying a cascade classifier to the sequence of images.
9. The system of claim 6 , the at least one processor further to compress the sequence of images by re-using identical image data captured in respective images of the sequence of images.
10. The system of claim 6 , the at least one processor further to store an indication in a database when the match is identified and providing the alert to the user computing device.
11. A non-transitory computer readable medium encoded with instructions stored thereon for detecting faces, the instructions when executed by a processor, causing the processor to perform operations comprising:
detecting at least a portion of a face from at least one image of a sequence of images;
applying a plurality of image strips to the sequence of images, the plurality of image strips together forming a particular curvature and a particular pattern, each image strip of the plurality of image strips having a same width, and determining at least one of an edge-like feature of the face and a ridge-like feature of the face;
generating a mapping of facial points corresponding to the at least one image by:
generating a plurality of points on an image plane corresponding to the at least one image and determining a distance between each point to the plurality of points, each point corresponding to the at least one of the edge-like feature of the face and the ridge-like feature of the face;
projecting the plurality of points from the image plane to a surface of a mean shape;
mirroring the points using facial symmetry;
identifying a match for the mapping of facial points by comparing the distance between each point to the plurality of points and the mapping of facial points to a recognized image stored in a database; and
triggering an alert of the match and transmitting the alert for display to a user computer device.
12. The non-transitory computer readable medium of claim 11 , the operations further comprising receiving high definition video from images from at least one high-definition camera; and
capturing snapshots of the high definition video to generate the sequence of images.
13. The non-transitory computer readable medium 13 , wherein the detecting the at least a portion of the face comprises applying a cascade classifier to the sequence of images.
14. The non-transitory computer readable medium of claim 11 , the operations further comprising compressing the sequence of images by re-using identical image data captured in respective images of the sequence of images.
15. The non-transitory computer readable medium of claim 11 , the operations further comprising storing an indication in a database when the match is identified and providing the alert to the user computing device.