Disney Enterprises, Inc.

Eth Zurich (eidgenossische Technische Hochschule Zurich)

Eth Zurich (eidgenoessische Technische Hochschule Zurich)

Eth Züruch (Eidgenössische Technische Hochschule Zürich)

Eth Zürich (Eidgenossische Technische Hochscule Zürich)

Eth Zurich (eidgenoessiche Technische Hochschule Zurich)

Thabo D Beeler

Derek Edward Bradley

Markus H Gross

Bernd Bickel

Robert Walker Sumner

Iain Matthews

Paul A Beardsley

Anthony M Accardo

Skarphedinn S Hedinsson

Aljosa Aleksej Andrej Smolic

Bernhard Thomaszewski

Chenglei Wu

Jose Rafael Tena

Pascal Bérard

Wojciech Matusik

Markus Gross

Philip John Jackson

Moshe Benjamin Mahler

Yeara Kozlov

Peter Kaufmann

Stephen Robert Marschner

Cydni Tetro

Miquel À Farré Guiu

Hengchin Yeh

Chen Cao

John-Thomas C Ngo

Scott Frazier Watson

Kenneth John Mitchell

Jon Hayes Snoddy

Paulo Fabiano Urnau Gotardo

Alfredo Medina Ayala

Abhijeet Ghosh

Giorgio Corbellini

Moritz Niklaus Bächer

Jeremy Riviere

Miquel Angel Farré Guiu

Amit Bermano

Fabian Hahn

Steven G McDonagh

Steve Marschner

Martin Klaudiny

Anthony D Martin

Bob Sumner

Jose Ignacio Echevarria

Embodiments of the present disclosure techniques for modeling and capturing the dynamic appearance of skin. These techniques can couple dynamic reflectance parameters for skin (albedo and specular reflectance) with dynamic geometry. The disclosed techniques allow for capture and modeling of the dynamic appearance of skin for an actor. The techniques can re-render the actor's face accurately to accurately model the appearance of skin including the albedo of skin that can change primarily due to blood flow. The techniques can also re-render the actor's face accurately under multiple different lighting conditions.

Techniques for capturing dynamic appearance of skin

Embodiments provide techniques for distributing supplemental content based on content entities within video content. Embodiments include analyzing video data to identify a known content entity within two or more frames of the video data. For each of the two or more frames, a region of pixels within the respective frame is determined that corresponds to the known content entity. Embodiments further include determining supplemental content corresponding to the known content entity. A watermark is embedded at a first position within the video data, such that the watermark corresponds to an identifier associated with the determined supplemental content. Upon receiving a message specifying the identifier, embodiments include transmitting the supplement content to a client device for output together with the video data.

Descriptive metadata extraction and linkage with editorial content

A method of determining facial location and orientation may include receiving a location of a first radio frequency (RF) tag on a subject; receiving a location of a second RF tag on the subject; determining a location and orientation of a face of the subject using at least the location of the first RF tag and the location of the second RF tag; and sending commands to one or more camera units. The commands may cause the one or more camera units to capture the location and orientation of the face of the subject.

Facial location determination

A system and method for non-invasive reconstruction of an entire object-specific or person-specific teeth row from just a set of photographs of the mouth region of an object (e.g., an animal) or a person (e.g., an actor or a patient) are provided. A teeth statistic model defining individual teeth in a teeth row can be developed. The teeth statistical model can jointly describe shape and pose variations per tooth, and as well as placement of the individual teeth in the teeth row. In some embodiments, the teeth statistic model can be trained using teeth information from 3D scan data of different sample subjects. The 3D scan data can be used to establish a database of teeth of various shapes and poses. Geometry information regarding the individual teeth can be extracted from the 3D scan data. The teeth statistic model can be trained using the geometry information regarding the individual teeth.

Model-based teeth reconstruction

A computer-implemented method is provided for physical face cloning to generate a synthetic skin. Rather than attempt to reproduce the mechanical properties of biological tissue, an output-oriented approach is utilized that models the synthetic skin as an elastic material with isotropic and homogeneous properties (e.g., silicone rubber). The method includes capturing a plurality of expressive poses from a human subject and generating a computational model based on one or more material parameters of a material. In one embodiment, the computational model is a compressible neo-Hookean material model configured to simulate deformation behavior of the synthetic skin. The method further includes optimizing a shape geometry of the synthetic skin based on the computational model and the captured expressive poses. An optimization process is provided that varies the thickness of the synthetic skin based on a minimization of an elastic energy with respect to rest state positions of the synthetic skin.

Physical face cloning

Methods, systems, and computer-readable memory are provided for determining time-varying anatomical and physiological tissue characteristics of an animation rig. For example, shape and material properties are defined for a plurality of sample configurations of the animation rig. The shape and material properties are associated with the plurality of sample configurations. An animation of the animation rig is obtained, and one or more configurations of the animation rig are determined for one or more frames of the animation. The determined one or more configurations include shape and material properties, and are determined using one or more sample configurations of the animation rig. A simulation of the animation rig is performed using the determined one or more configurations. Performing the simulation includes computing physical effects for addition to the animation of the animation rig.

Methods and systems of enriching blendshape rigs with physical simulation

Embodiments provide techniques for distributing supplemental content based on content entities within video content. Embodiments include receiving video data containing an embedded watermark at a first position within the video data. The embedded watermark is detected at the first position within the video data. Embodiments also include transmitting, to a remote content server, a message specifying a time stamp corresponding to the first position within the video data. In response to transmitting the message, supplemental content corresponding to a content entity depicted within the video content at the first position within the video content is received from the remote content server. Embodiments also include outputting the video data for display together with at least an indication of the supplemental content.

Systems and techniques for generating a parametric eye model of one or more eyes are provided. The systems and techniques may include obtaining eye data from an eye model database. The eye data includes eyeball data and iris data corresponding to a plurality of eyes. The systems and techniques may further include generating an eyeball model using the eyeball data. Generating the eyeball model includes establishing correspondences among the plurality of eyes. The systems and techniques may further include generating an iris model using the iris data. Generating the iris model includes sampling one or more patches of one or more of the plurality of eyes using an iris control map and merging the one or more patches into a synthesized texture. The systems and techniques may further include generating the parametric eye model that includes the eyeball model and the iris model.

Methods and systems of generating a parametric eye model

Systems and techniques for reconstructing one or more eyes using a parametric eye model are provided. The systems and techniques may include obtaining one or more input images that include at least one eye. The systems and techniques may further include obtaining a parametric eye model including an eyeball model and an iris model. The systems and techniques may further include determining parameters of the parametric eye model from the one or more input images. The parameters can be determined to fit the parametric eye model to the at least one eye in the one or more input images. The parameters include a control map used by the iris model to synthesize an iris of the at least one eye. The systems and techniques may further include reconstructing the at least one eye using the parametric eye model with the determined parameters.

Methods and systems of performing eye reconstruction using a parametric model

Provided are methods, systems, and computer-readable medium for synthetically generating training data to be used to train a learning algorithm that is capable of generating computer-generated images of a subject from real images that include the subject. The training data can be generated using a facial rig by changing expressions, camera viewpoints, and illumination in the training data. The training data can then be used for tracking faces in a real-time video stream. In such examples, the training data can be tuned to expected environmental conditions and camera properties of the real-time video stream. Provided herein are also strategies to improve training set construction by analyzing which attributes of a computer-generated image (e.g., expression, viewpoint, and illumination) require denser sampling.

Markerless face tracking with synthetic priors

A method of transferring a facial expression from a subject to a computer-generated character and a system and non-transitory computer-readable medium for the same. The method can include receiving an input image depicting a face of a subject; matching a first facial model to the input image; generating a displacement map representing of finer-scale details not present in the first facial model using a regression function that estimates the shape of the finer-scale details. The displacement map can be combined with the first facial model to create a second facial model that includes the finer-scale details, and the second facial model can be rendered, if desired, to create a computer-generated image of the face of the subject that includes the finer-scale details.

Real-time high-quality facial performance capture

There is provided a method for use by a system including a hardware processor and a memory storing a three-dimensional (3D) character data having a topology mesh describing a character. The method includes stabilizing the 3D character data by removing a translational motion and a rotational motion from the 3D character data, determining a range of motion of a plurality of points of the topology mesh describing the character, identifying a plurality of poses for generating an animation, where each of the plurality of poses includes a unique configuration of the plurality of points of the topology mesh, and creating an animatronic including a plurality of actuators configured to instantiate the plurality of poses for generating the animation.

Data driven design and animation of animatronics

Methods and systems of equalizing spatial frequency signals for images are provided. Images distorted through defocus, motion blur, under-sampling or other reasons may be equalized. Equalized spatial frequency signals may be used to determine correspondence matching between images. Image patches from two or more image signals may be identified and analyzed to determine image patches that contain similar representations of the real scene, with sufficient local details for accurately computing cross-correlation.

Methods and systems of local signal equalization

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Zurich, Switzerland

Thabo D Beeler