Abstract: A method of vertical planar surface detection includes identifying, at an electronic device, a plurality of feature points of an environment proximate the electronic device based on imagery captured at the electronic device and based on received non-visual pose information obtained from non-visual sensors. The electronic device queries the plurality of feature points to identify one or more planar surfaces in the imagery captured at the electronic device. Further, the electronic device computes a plurality of oriented point vectors associated with the one or more planar surfaces. A vertical planar surface is detected based at least in part on one or more of the plurality of oriented point vectors being aligned in a direction perpendicular to gravity within a predetermined threshold.

Abstract: A system, apparatus, and method are disclosed for utilizing a sensed pose of a user to dynamically control the mixing of audio tracks to provide a user with a more realistic, informative, and/or immersive audio experience with a virtual environment, such as a video.

Abstract: A method of vertical planar surface detection includes identifying, at an electronic device (100), a plurality of feature points (124, 126, 128) of an environment (112) proximate the electronic device based on imagery captured at the electronic device and based on received non-visual pose information (142) obtained from non-visual sensors (610). The electronic device queries (406) the plurality of feature points to identify one or more planar surfaces in the imagery captured at the electronic device. Further, the electronic device computes (408) a plurality of oriented point vectors associated with the one or more planar surfaces. A vertical planar surface (204, 206) is detected based at least in part on one or more of the plurality of oriented point vectors being aligned in a direction perpendicular to gravity within a predetermined threshold.

Abstract: A system, apparatus, and method are disclosed for utilizing a sensed pose of a user to dynamically control the mixing of audio tracks to provide a user with a more realistic, informative, and/or immersive audio experience with a virtual environment, such as a video.

Abstract: In at least one general aspect, a method can include determining a position of a user in a virtual reality (VR) environment, determining a position of object in the VR environment, defining a vector between the position of the user and the position of the object, and defining an elongated collision volume along the vector. The elongated collision volume may have a medial portion around at least a portion of the object, a proximal portion disposed proximal to the object, and a distal portion disposed proximal to the object. The proximal portion may have a cross-sectional area less than a cross-sectional area of the distal portion.

Abstract: In at least one general aspect, a method can include determining a position of a user in a virtual reality (VR) environment, determining a position of object in the VR environment, defining a vector between the position of the user and the position of the object, and defining an elongated collision volume along the vector. The elongated collision volume may have a medial portion around at least a portion of the object, a proximal portion disposed proximal to the object, and a distal portion disposed proximal to the object. The proximal portion may have a cross-sectional area less than a cross-sectional area of the distal portion.

Abstract: A system, method, and software product provide an efficient mechanism for rendering characters for computer based animation. The operation of the system is particularly well suited to the rendering of scenes of large numbers of characters, such as scenes of large crowds. The system uses a stroke based character model for a character, which is a collection of strokes, defined in a three dimensional coordinate system of a character, and associated with a geometric model of the character. This stroke model of the character and its association to the geometric model enables the strokes to move or change position over time as the character moves. The stroke model reduces the amount of data needed to accurately represent the character, particularly its shadows and silhouettes.