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real-time expression transfer for facial reenactment

siggraph asia 2015 technical paper videoproject page: http:graphicsstanfordeduniessnerthies2015realtimehtmlwe present a method for the real-time transfer of facial expressions from an actor in a source video to an actor in a target video thus enabling the ad-hoc control of the facial expressions of the target actor the novelty of our approach lies in the transfer and photo-realistic re-rendering of facial deformations and detail into the target video in a way that the newly-synthesized expressions are virtually indistinguishable from a real video to achieve this we accurately capture the facial performances of the source and target subjects in real-time using a commodity rgb-d sensor for each frame we jointly fit a parametric model for identity expression and skin reflectance to the input color and depth data and also reconstruct the scene lighting for expression transfer we compute the difference between the source and target expressions in parameter space and modify the target parameters to match the source expressions a major challenge is the convincing re-rendering of the synthesized target face into the corresponding video stream this requires a careful consideration of the lighting and shading design which both must correspond to the real-world environment we demonstrate our method in a live setup where we modify a video conference feed such that the facial expressions of a different person eg translator are matched in real-time
makeup lamps: live augmentation of human faces via projection

we propose the first system for live dynamic augmentation of human faces using projector-based illumination we alter the appearance of human performers during novel performances the key challenge of live augmentation is latency an image is generated according to a specific pose but is displayed on a different facial configuration by the time it is projected therefore our system aims at reducing latency during every step of the process from capture through processing to projection using infrared illumination an optically and computationally aligned high-speed camera detects facial orientation as well as expression the estimated expression blendshapes are mapped onto a lower dimensional space and the facial motion and non-rigid deformation are estimated smoothed and predicted through adaptive kalman filtering finally the desired appearance is generated interpolating precomputed offset textures according to time global position and expression we have evaluated our system through an optimiz
avatar mirrors users facial expressions in real-time using a standard webcam diginfo

avatar mirrors users facial expressions in real-time using a standard webcamhttp:wwwdiginfotvv12-0107-r-enphpdiginfo tv - http:diginfotv162012 keio universityreal-time avatar
adam kokesh body slammed choked police brutality at jefferson memorial

please help promote this facebook event http:wwwfacebookcomeventphpeid=150453268357946http:adamvsthemancom on may28 2011 television host adam kokesh and several other activists participating in a flash-mob were arrested at the publicly-funded thomas jefferson memorial their crime silently dancing in celebration of the first amendment039s champion a clear violation of their right to free-expression in an excessive use of force video was captured of adam being body slammed and placed in a choke for his non-crime