Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: Methods and systems for measuring group behavior are provided. Group behavior of different groups may be measured objectively and automatically in different environments including a dark environment. A uniform visible signal comprising images of members of a group may be obtained. Facial motion and body motions of each member may be detected and analyzed from the signal. Group behavior may be measured by aggregating facial motions and body motions of all members of the group. A facial motion such as a smile may be detected by using the Fourier Lucas-Kanade (FLK) algorithm to register and track faces of each member of a group. A flow-profile for each member of the group is generated. Group behavior may be further analyzed to determine a correlation of the group behavior and the content of the stimulus. A prediction of the general public's response to the stimulus based on the analysis of the group behavior is also provided.

Abstract: A system and method generates a broadcast image. The method includes receiving a first image captured by a first camera having a first configuration incorporating a first center of projection. The method includes determining a first mapping from a first image plane of the first camera onto a sphere. The method includes determining a second mapping from the sphere to a second image plane of a second virtual camera having a second configuration incorporating the first center of projection of the first configuration. The method includes generating a second image based upon the first image and a concatenation of the first and second mappings.

Abstract: Techniques are disclosed for controlling robot pixels to display a visual representation of an input. The input to the system could be an image of a face, and the robot pixels deploy in a physical arrangement to display a visual representation of the face, and would change their physical arrangement over time to represent changing facial expressions. The robot pixels function as a display device for a given allocation of robot pixels. Techniques are also disclosed for distributed collision avoidance among multiple non-holonomic robots to guarantee smooth and collision-free motions. The collision avoidance technique works for multiple robots by decoupling path planning and coordination.

Abstract: A relative pose between two cameras is determined by using input data obtained from the motion of subjects, such as pedestrians, between the fields of view of two cameras, determining trajectory information for the subjects, and computing homographies relating lines obtained from trajectories in the first image data to lines obtained from the trajectories in the second image data. The two fields of view need not overlap.

Abstract: Techniques are described to characterize motion patterns of a group of agents engaging in an activity. An analysis system receives input data associated with spatial and temporal information of at least one element of interest associated with the activity, where the object of interest may be a ball, person, animal or any other object in motion. The analysis system partitions the input data into a plurality of spatiotemporal segments and generates one or more representations of one or more sets of segments of the plurality of spatiotemporal segments based on one or more criteria. The analysis system computes a metric, such as an entropy value, for each of the one or more representations. Partial tracing data, such as ball movements in a sporting event, may be created using an inexpensive input device, such as a tablet computer, making the disclosed techniques available for a wide range of events and activities.

Abstract: Techniques are disclosed for retargeting facial expressions. Input is received that represents a facial expression of a first character. Facial layers are generated based on the received input. The facial layers include one or more parameters extracted from the received input. A facial expression for a second character and corresponding to the facial expression of the first character is generated, based on the facial layers and without defining any spatial correspondence between the first character and the second character.

Abstract: Techniques are disclosed for creating digital assets that can be used to personalize themed products. For example, a workflow and pipeline used to generate a 3D model from digital images of a person's face and to manufacture a personalized, physical figurine customized with the 3D model are disclosed. The 3D model of the person's face may be simplified to match a topology of a desired figurine. While the topology is deformed to match that of the figurine, the 3D model retains the geometry of the child's face. Simplifying the topology of the 3D model in this manner allows the mesh to be integrated with or attached to a mesh representing desired figurine.

Abstract: Techniques are disclosed for generating a bilinear spatiotemporal basis model. A method includes the steps of predefining a trajectory basis for the bilinear spatiotemporal basis model, receiving three-dimensional spatiotemporal data for a training sequence, estimating a shape basis for the bilinear spatiotemporal basis model using the three-dimensional spatiotemporal data, and computing coefficients for the bilinear spatiotemporal basis model using the trajectory basis and the shape basis.

Abstract: A relative pose between two cameras is determined by using input data obtained from the motion of subjects, such as pedestrians, between the fields of view of two cameras, determining trajectory information for the subjects, and computing homographies relating lines obtained from trajectories in the first image data to lines obtained from the trajectories in the second image data. The two fields of view need not overlap.

Abstract: A relative pose between two cameras is determined by using input data obtained from the motion of subjects, such as pedestrians, between the fields of view of two cameras, determining trajectory information for the subjects, and computing homographies relating lines obtained from trajectories in the first image data to lines obtained from the trajectories in the second image data. The two fields of view need not overlap.

Abstract: A relative pose between two cameras is determined by using input data obtained from the motion of subjects, such as pedestrians, between the fields of view of two cameras, determining trajectory information for the subjects, and computing homographies relating lines obtained from trajectories in the first image data to lines obtained from the trajectories in the second image data. The two fields of view need not overlap.

Abstract: Techniques are disclosed for controlling robot pixels to display a visual representation of an input. The input to the system could be an image of a face, and the robot pixels deploy in a physical arrangement to display a visual representation of the face, and would change their physical arrangement over time to represent changing facial expressions. The robot pixels function as a display device for a given allocation of robot pixels. Techniques are also disclosed for distributed collision avoidance among multiple non-holonomic robots to guarantee smooth and collision-free motions. The collision avoidance technique works for multiple robots by decoupling path planning and coordination.