Abstract: Systems and methods for multi-attendee video conferencing are described. A system can perform spatial audio modulation techniques in video conference calls based on content type or participant role. In particular, by assigning user roles and content types to specific regions in a two- or three-dimensional audio sound space or “soundstage,” users can identify—simply by listening—the source of the audio (e.g., who the current speaker is and/or whether the sound came from a specific type of content). Thus, in example implementations of the present disclosure, each of a number of conference roles and/or content types can be allocated a particular virtual location within the audio soundstage.

Abstract: Paired images of substantially the same scene are captured with the same freestanding sensor. The paired images include reflected light illuminated with controlled polarization states that are different between the separate images. A first pixel value from one of the first image and the second image is subtracted from a corresponding pixel value from a remaining one of the first image and the second image. When repeated over the raster of corresponding pixels, a modified image includes an isolated representation of substantially pure specular color data. The captured images and the modified image are stored and used to generate a model. Substantially shadow-free diffuse color and specular color data are applied to texture maps of the model to generate a virtual environment where a virtual light source can be introduced and controlled to achieve desired results absent adverse effects introduced from fixed ambient light sources used in conventional source photography.

Abstract: A method and apparatus for extracting an iris region is disclosed. The apparatus may generate a classification map associated with an iris region from an eye image using a trained neural network model, estimate a geometric parameter associated with the iris region using the generated classification map, and extract the iris region from the eye image based on the estimated geometric parameter.

Abstract: Provided is a three-dimensional model classification method of classifying constitutions.