Abstract: A mechanism is described to facilitate gesture matching according to one embodiment. A method of embodiments, as described herein, includes selecting a gesture from a database during an authentication phase, translating the selected gesture into an animated avatar, displaying the avatar, prompting a user to perform the selected gesture, capturing a real-time image of the user and comparing the gesture performed by the user in the captured image to the selected gesture to determine whether there is a match.

Abstract: Avatar animation systems disclosed herein provide high quality, real-time avatar animation that is based on the varying countenance of a human face. In some example embodiments, the real-time provision of high quality avatar animation is enabled at least in part, by a multi-frame regressor that is configured to map information descriptive of facial expressions depicted in two or more images to information descriptive of a single avatar blend shape. The two or more images may be temporally sequential images. This multi-frame regressor implements a machine learning component that generates the high quality avatar animation from information descriptive of a subject's face and/or information descriptive of avatar animation frames previously generated by the multi-frame regressor.

Abstract: Apparatuses, methods and storage medium associated with emotion augmented animation of avatars are disclosed herein. In embodiments, an apparatus may comprise an animation augmentation engine to receive facial data of a user, analyze the facial data to determine an emotion state of the user, and drive additional animation that supplements animation of the avatar based at least in part on a result of the determination of the emotion state of the user. Other embodiments may be described and/or claimed.

Abstract: Apparatuses, methods and storage medium associated with generating and animating avatars are disclosed herein. In embodiments, an apparatus may comprise an avatar generator to receive an image having a face of a user; analyze the image to identify various facial and related components of the user; access an avatar database to identify corresponding artistic renditions for the various facial and related components stored in the database; and combine the corresponding artistic renditions for the various facial and related components to form an avatar, without user intervention. In embodiments, the apparatus may further comprise an avatar animation engine to animate the avatar in accordance with a plurality of animation messages having facial expression or head pose parameters that describe facial expressions or head poses of a user determined from an image of the user. Other embodiments may be disclosed and/or claimed.

Abstract: A mechanism is described to facilitate dynamic selection of avatars according to one embodiment. A method of embodiments, as described herein, includes acquiring user attributes, analyzing the user attributes and facilitating selection of an avatar based on the user attributes.

Abstract: Apparatuses, methods and storage medium associated with capturing images are disclosed herein. In embodiments, the apparatus may include a face tracker to receive an image frame, analyze the image frame for a face, and on identification of a face in the image frame, evaluate the face to determine whether the image frame comprises an acceptable or unacceptable face pose. Further, the face tracker may be configured to provide instructions for taking another image frame, on determination of the image frame having an unacceptable face pose, with the instructions designed to improve likelihood that the other image frame will comprise an acceptable face pose. Other embodiments may be described and/or claimed.