Abstract: Apparatuses, methods and storage medium associated with 3D face model reconstruction are disclosed herein. In embodiments, an apparatus may include a facial landmark detector, a model fitter and a model tracker. The facial landmark detector may be configured to detect a plurality of landmarks of a face and their locations within each of a plurality of image frames. The model fitter may be configured to generate a 3D model of the face from a 3D model of a neutral face, in view of detected landmarks of the face and their locations within a first one of the plurality of image frames. The model tracker may be configured to maintain the 3D model to track the face in subsequent image frames, successively updating the 3D model in view of detected landmarks of the face and their locations within each of successive ones of the plurality of image frames.

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 face tracking apparatus includes: a face region detector; a segmentation unit; an occlusion probability calculator; and a tracking unit. The face region detector is configured to detect a face region based on an input image. The segmentation unit is configured to segment the face region into a plurality of sub-regions. The occlusion probability calculator configured to calculate occlusion probabilities for the plurality of sub-regions. The tracking unit is configured to track a face included in the input image based on the occlusion probabilities.

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.

Abstract: Provided are a positioning method and apparatus. The positioning method includes acquiring a plurality of positioning results including positions of key points of a facial area included in an input image, respectively using a plurality of predetermined positioning models, evaluating the plurality of positioning results using an evaluation model of the positions of the key points, and updating at least one of the plurality of predetermined positioning models and the evaluation model based on a positioning result that is selected, based on a result of the evaluating, from among the plurality of positioning results.

Abstract: Apparatuses, methods and storage medium associated with 3D face model reconstruction are disclosed herein. In embodiments, an apparatus may include a facial landmark detector, a model fitter and a model tracker. The facial landmark detector may be configured to detect a plurality of landmarks of a face and their locations within each of a plurality of image frames. The model fitter may be configured to generate a 3D model of the face from a 3D model of a neutral face, in view of detected landmarks of the face and their locations within a first one of the plurality of image frames. The model tracker may be configured to maintain the 3D model to track the face in subsequent image frames, successively updating the 3D model in view of detected landmarks of the face and their locations within each of successive ones of the plurality of image frames.

Abstract: A face tracking apparatus includes: a face region detector; a segmentation unit; an occlusion probability calculator; and a tracking unit. The face region detector is configured to detect a face region based on an input image. The segmentation unit is configured to segment the face region into a plurality of sub-regions. The occlusion probability calculator configured to calculate occlusion probabilities for the plurality of sub-regions. The tracking unit is configured to track a face included in the input image based on the occlusion probabilities.

Abstract: Provided is a method of detecting and tracking lips accurately despite a change in a head pose. A plurality of lips rough models and a plurality of lips precision models may be provided, among which a lips rough model corresponding to a head pose may be selected, such that lips may be detected by the selected lips rough model, a lips precision model having a lip shape most similar to the detected lips may be selected, and the lips may be detected accurately using the lips precision model.

Abstract: A method and apparatus for modeling a three-dimensional (3D) face, and a method and apparatus for tracking a face. The method for modeling the 3D face may set a predetermined reference 3D face to be a working model, and generate a result of tracking including at least one of a face characteristic point, an expression parameter, and a head pose parameter from a video frame, based on the working model, to output the result of the tracking.

Abstract: Device and method for tracking human face are provided. The device may include an image collection unit to receive a video image and output a current frame image included in the received video image to a prediction unit, the prediction unit to predict a 2-dimensional (2D) position of a key point of a human face in a current frame image output through the image collection unit based on 2D characteristics and 3-dimensional (3D) characteristics of a human face in a previous image obtained through a face fitting unit, and to output the predicted 2D position of the key point to the face fitting unit, and the face fitting unit to obtain the 2D characteristics and the 3D characteristics by fitting a predetermined 2D model and 3D model of the human face based on the 2D position of the key point predicted by the prediction unit using at least one condition.