Abstract: A fuse shield features a cylindrical body, a first cap cover, a second cap cover, and a stop region. The cylindrical body is adapted to be placed over and partially surround a cylindrical fuse. The cylindrical body is sandwiched between the first and second cap covers. The stop region is located on an edge of the first cap cover to limit rotation of the cylindrical fuse to a first degree in one direction on a flat surface.

Abstract: Performance capture systems and techniques are provided for capturing a performance of a subject and reproducing an animated performance that tracks the subject's performance. For example, systems and techniques are provided for determining control values for controlling an animation model to define features of a computer-generated representation of a subject based on the performance. A method may include obtaining input data corresponding to a pose performed by the subject, the input data including position information defining positions on a face of the subject. The method may further include obtaining an animation model for the subject that includes adjustable controls that control the animation model to define facial features of the computer-generated representation of the face, and matching one or more of the positions on the face with one or more corresponding positions on the animation model.

Abstract: In some embodiments a method of transferring facial expressions from a subject to a computer-generated character is provided where the method includes receiving positional information from a motion capture session of the subject representing a performance having facial expressions to be transferred to the computer-generated character, receiving a first animation model that represents the subject, and receiving a second animation model that represents the computer-generated character. Each of the first and second animation models can include a plurality of adjustable controls that define geometries of the model and that can be adjusted to present different facial expressions on the model, and where the first and second animation models are designed so that setting the same values for the same set of adjustable controls in each model generates a similar facial poses on the models.

Abstract: Performance capture systems and techniques are provided for capturing a performance of a subject and reproducing an animated performance that tracks the subject's performance. For example, systems and techniques are provided for determining control values for controlling an animation model to define features of a computer-generated representation of a subject based on the performance. A method may include obtaining input data corresponding to a pose performed by the subject, the input data including position information defining positions on a face of the subject. The method may further include obtaining an animation model for the subject that includes adjustable controls that control the animation model to define facial features of the computer-generated representation of the face, and matching one or more of the positions on the face with one or more corresponding positions on the animation model.

Abstract: Performance capture systems and techniques are provided for capturing a performance of a subject and reproducing an animated performance that tracks the subject's performance. For example, systems and techniques are provided for determining control values for controlling an animation model to define features of a computer-generated representation of a subject based on the performance. A method may include obtaining input data corresponding to a pose performed by the subject, the input data including position information defining positions on a face of the subject. The method may further include obtaining an animation model for the subject that includes adjustable controls that control the animation model to define facial features of the computer-generated representation of the face, and matching one or more of the positions on the face with one or more corresponding positions on the animation model.

Abstract: In some embodiments a method of transferring facial expressions from a subject to a computer-generated character is provided where the method includes receiving positional information from a motion capture session of the subject representing a performance having facial expressions to be transferred to the computer-generated character, receiving a first animation model that represents the subject, and receiving a second animation model that represents the computer-generated character. Each of the first and second animation models can include a plurality of adjustable controls that define geometries of the model and that can be adjusted to present different facial expressions on the model, and where the first and second animation models are designed so that setting the same values for the same set of adjustable controls in each model generates a similar facial poses on the models.

Abstract: Performance capture systems and techniques are provided for capturing a performance of a subject and reproducing an animated performance that tracks the subject's performance. For example, systems and techniques are provided for determining control values for controlling an animation model to define features of a computer-generated representation of a subject based on the performance. A method may include obtaining input data corresponding to a pose performed by the subject, the input data including position information defining positions on a face of the subject. The method may further include obtaining an animation model for the subject that includes adjustable controls that control the animation model to define facial features of the computer-generated representation of the face, and matching one or more of the positions on the face with one or more corresponding positions on the animation model.

Abstract: A method, apparatus, and article of manufacture provide the ability to manipulate an image transformation over time. A source image is selected from a first frame and a destination image is selected from a second frame. A first animation axis that defines a first two-dimensional transformation of the source image over time and a second animation axis that defines a second two-dimensional transformation of the destination image over time are both determined. The transformation of the source image to the destination image is manipulated by manipulating the second axis. Further, input from a user may be accepted for adjusting a coarseness of a lattice structure that controls an accuracy and affect of points with respect to each other during the transformation process. Lastly, the correspondence or mapping between sample points on the source and destination images may be manipulated over time.