Patent application number | Description | Published |
20130148860 | MOTION ALIGNED DISTANCE CALCULATIONS FOR IMAGE COMPARISONS - Image comparison techniques allow a quick method of recognizing and identifying faces or other objects appearing in images. A series of quick distance calculations can be performed between an unknown input image and a reference image. These calculations may include facial detection, normalization, discrete cosine transform calculations, and threshold comparisons to determine whether an image is recognized. In the case of identification uncertainty, slower but more precise motion aligned distance calculations are initiated. Motion aligned distance calculations involve generating a set of downscaled images, determining motion field and motion field-based distances between an unknown input image and reference image, best scale factors for aligning an unknown input image with reference images, and calculating affine transformation matrices to modify and align an unknown input image with reference images. | 06-13-2013 |
20130148898 | CLUSTERING OBJECTS DETECTED IN VIDEO - Identification of facial images representing both animate and inanimate objects appearing in media, such as videos, may be performed using clustering. Clusters contain facial images representing the same or similar objects, providing a database for future automated facial image identification to be performed more quickly and easily. Clustering also allows videos or other media to be indexed so that segments that contain a certain object may be found without having to search through the entire length of the media. Clustering involves separating media data into individual frames and filtering for frames with facial images. A digital media processor may then process each facial image, compare it to other facial images, and form clusterizer tracks with the objective of forming a cluster. These newly formed clusters may be compared with previously formed clusters via key faces in order to determine the identity of facial images contained in the clusters. | 06-13-2013 |
20130182918 | 3D IMAGE ESTIMATION FOR 2D IMAGE RECOGNITION - A server determines a plurality of faceprints representing a plurality of users to be recognized at a client device. Each faceprint contains a number of reference images for a given user that are used to recognize facial images of the user detecting in media captured at the client device. The faceprints delivered to the client device are determined for the client device based on the users likely to be detected in images captured at the client device. The reference images with a given faceprint delivered to the client device are selected by the server based on their recognition value in identifying the users likely to be detected in images captured at the client device. | 07-18-2013 |