Abstract: Systems and method for the reconstruction of an articulated object are disclosed herein, The articulated object can be reconstructed from image data collected by a moving camera over a period of time. A plurality of 2D feature points can be identified within the image data. These 2D feature points can be converted into three-dimensional space, which converted points are identified as 3D feature points. These 3D feature points can be used to identify one or several rigidity constrains and/or kinematic constraints. These rigidity and/or kinematic constraints can be applied to a model of the reconstructed articulated object.

Abstract: Systems and techniques for reconstructing one or more surfaces of an object including one or more opaque surfaces behind one or more refractive surfaces are provided. The systems and techniques may include obtaining one or more images of the object including an opaque surface located behind a refractive surface and determining one or more refractive surface constraints using the one or more images. The one or more refractive surface constraints constrain one or more characteristics of the refractive surface. The systems and techniques may further include reconstructing an opaque surface representation or a refractive surface representation using the one or more refractive surface constraints, the opaque surface representation representing the opaque surface of the object, and the refractive surface representation representing the refractive surface of the object.

Abstract: Techniques and systems are described for generating an anatomically-constrained local model and for performing performance capture using the model. The local model includes a local shape subspace and an anatomical subspace. In one example, the local shape subspace constrains local deformation of various patches that represent the geometry of a subject's face. In the same example, the anatomical subspace includes an anatomical bone structure, and can be used to constrain movement and deformation of the patches globally on the subject's face. The anatomically-constrained local face model and performance capture technique can be used to track three-dimensional faces or other parts of a subject from motion data in a high-quality manner. Local model parameters that best describe the observed motion of the subject's physical deformations (e.g., facial expressions) under the given constraints are estimated through optimization.

Abstract: Techniques and systems are described for generating an anatomically-constrained local model and for performing performance capture using the model. The local model includes a local shape subspace and an anatomical subspace. In one example, the local shape subspace constrains local deformation of various patches that represent the geometry of a subject's face. In the same example, the anatomical subspace includes an anatomical bone structure, and can be used to constrain movement and deformation of the patches globally on the subject's face. The anatomically-constrained local face model and performance capture technique can be used to track three-dimensional faces or other parts of a subject from motion data in a high-quality manner. Local model parameters that best describe the observed motion of the subject's physical deformations (e.g., facial expressions) under the given constraints are estimated through optimization.

Abstract: Techniques and systems are described for generating an anatomically-constrained local model and for performing performance capture using the model. The local model includes a local shape subspace and an anatomical subspace. In one example, the local shape subspace constrains local deformation of various patches that represent the geometry of a subject's face. In the same example, the anatomical subspace includes an anatomical bone structure, and can be used to constrain movement and deformation of the patches globally on the subject's face. The anatomically-constrained local face model and performance capture technique can be used to track three-dimensional faces or other parts of a subject from motion data in a high-quality manner. Local model parameters that best describe the observed motion of the subject's physical deformations (e.g., facial expressions) under the given constraints are estimated through optimization.

Abstract: Techniques and systems are described for generating an anatomically-constrained local model and for performing performance capture using the model. The local model includes a local shape subspace and an anatomical subspace. In one example, the local shape subspace constrains local deformation of various patches that represent the geometry of a subject's face. In the same example, the anatomical subspace includes an anatomical bone structure, and can be used to constrain movement and deformation of the patches globally on the subject's face. The anatomically-constrained local face model and performance capture technique can be used to track three-dimensional faces or other parts of a subject from motion data in a high-quality manner. Local model parameters that best describe the observed motion of the subject's physical deformations (e.g., facial expressions) under the given constraints are estimated through optimization.

Abstract: A technique for fabricating a highlight hologram based on a digital object performs point sampling on the object and represents each sampled point as a geometric patch. A set of geometric patches corresponding to sampled points from the object are fabricated into a substrate. A paraboloid patch may be used for reflective substrates while a hyperboloid may be used for transmissive substrates. To avoid specifying overlapping patches, which are impractical to fabricate, certain of the sample points may be merged. An output set of grooves is saved and may be used to specify fabrication of a highlight hologram on the physical substrate.

Abstract: Methods and systems of reconstructing an eyelid are provided. A method of reconstructing an eyelid includes obtaining one or more images of the eyelid, generating one or more image input data for the one or more images of the eyelid, generating one or more reconstruction data for the one or more images of the eyelid, and reconstructing a spatio-temporal digital representation of the eyelid using the one or more input image data and the one or more reconstruction data.

Abstract: A closed-loop control system for stereoscopic video capture is provided. At least two motorized lenses are positioned in accordance with specified parameters to capture spatially-disparate images of a scene. The motorized lenses focus light on a corresponding one of the at least two sensors, which generate image streams. One or more processors execute instructions to provide a stream analyzer and a control module. The stream analyzer receives the image streams from the sensors and analyzes the image streams and the specified parameters in real time; the stream analyzer then modifies the image streams and generates metadata. The control module then receives and analyzes the image streams and metadata and transmits updated parameters to a control mechanism that is coupled to the at least two motorized lenses. The control mechanism then modifies operation of the at least two motorized lenses in real time in accordance with the updated parameters.

Abstract: In an animation processing system, generating images to be viewable on a display using a computer that are generated based on scene geometry obtained from computer readable storage and animation data representing changes over time of scene geometry elements, but also images can be modified to include shading that is a function of positions of objects at other than the current instantaneous time for a frame render such that the motion effect shading would suggest motion of at least one of the elements to a viewer of the generated images. Motion effects provide, based on depiction parameters and/or artist inputs, shading that varies for at least some received animation data, received motion depiction parameters, for at least one pixel, a pixel color is rendered based on motion effect program output and at least some received scene geometry, such that the output contributes to features that would suggest the motion.

Abstract: Methods and systems for generating stereoscopic content with granular control over binocular disparity based on multi-perspective imaging from representations of light fields are provided. A reference image, a three-dimensional (“3D”) representation of a light field corresponding to the reference image, and a goal disparity image that indicates a goal binocular disparity for one or more pixels of the reference image may be received. For each pixel of an output image corresponding to the reference image, a point within the light field that is a closest match for the goal binocular disparity of a corresponding pixel of the goal disparity image may be determined. A stereoscopic image pair including the reference image and the output image may be generated.