Abstract: Provided are methods, apparatuses, and systems for tracking a pupil of an eye of a user with degraded iris authentication accuracy. In certain examples, an eye tracking device includes a camera adapted to capture an eye image of at least one eye of a user. The eye tracking device further includes an image processor adapted to defocus the eye image in order to generate a defocused eye image. The defocused eye image comprises reduced iris authentication accuracy. The eye tracking device further includes a tracking processor configured to detect a pupil in the defocused eye image and determine a gaze direction of the user based at least in part on one or more of the defocused eye image and the pupil.

Abstract: Provided are methods, apparatuses, and systems for tracking a pupil of an eye of a user with degraded iris authentication accuracy. In certain examples, an eye tracking device includes a camera adapted to capture an eye image of at least one eye of a user. The eye tracking device further includes an image processor adapted to defocus the eye image in order to generate a defocused eye image. The defocused eye image comprises reduced iris authentication accuracy. The eye tracking device further includes a tracking processor configured to detect a pupil in the defocused eye image and determine a gaze direction of the user based at least in part on one or more of the defocused eye image and the pupil.

Abstract: A method of object retrieval from visual data is provided that includes annotating at least one portion of the visual data with a context keyword corresponding to an object, wherein the annotating is performed responsive to recognition of the context keyword in audio data corresponding to the at least one portion of the visual data, receiving a query to retrieve the object, wherein the query includes a query keyword associated with both the object and the context keyword, identifying the at least one portion of the visual data based on the context keyword, and searching for the object in the at least one portion of the visual data using an appearance model corresponding to the query keyword.

Abstract: A method of object retrieval from visual data is provided that includes annotating at least one portion of the visual data with a context keyword corresponding to an object, wherein the annotating is performed responsive to recognition of the context keyword in audio data corresponding to the at least one portion of the visual data, receiving a query to retrieve the object, wherein the query includes a query keyword associated with both the object and the context keyword, identifying the at least one portion of the visual data based on the context keyword, and searching for the object in the at least one portion of the visual data using an appearance model corresponding to the query keyword.

Abstract: Techniques are disclosed for augmenting hand-drawn animation of human characters with three-dimensional (3D) physical effects to create secondary motion. Secondary motion, or the motion of objects in response to that of the primary character, is widely used to amplify the audience's response to the character's motion and to provide a connection to the environment. These 3D effects are largely passive and tend to be time consuming to animate by hand, yet most are very effectively simulated in current animation software. The techniques enable hand-drawn characters to interact with simulated objects such as cloth and clothing, balls and particles, and fluids. The driving points or volumes for the secondary motion are tracked in two dimensions, reconstructed into three dimensions, and used to drive and collide with the simulated objects.