Abstract: An artificial reality system includes a head mounted display (HMD) and a hand-held device. A virtual boundary can provide for user safety during an artificial reality session. For example, the virtual boundary may be defined to protect the user from collisions with physical objects, such as walls, furniture, or the like, while the user is immersed in the artificial reality session. The artificial reality system can constrain the predicted motion path of a portion of a user's body based on body configuration parameters and range of motion of the joints associated with the body portion. The artificial reality system can then use the constrained motion paths to determine whether or not the virtual boundary warning should be activated.

Abstract: An exemplary camera calibration apparatus includes a movable, e.g., rotatable, support structure which is controllably positioned to allow for image capture of different test patterns and image capture of the same pattern at different distances by a mounted camera. A first test pattern is mounted on a wall, e.g., a pyramid shaped 4 sided wall formed by panels surrounding the camera under calibration. The movable support structure has a first mirror attached to a first side and has a second test pattern attached to a second side. A second mirror mounted on an internal sidewall of the calibration apparatus housing facilities a different image path distance between the camera capturing the image of the first test pattern and the first test pattern. The exemplary camera calibration apparatus is well suited for efficiently calibrating camera devices including a plurality of camera modules, e.g., optical chains, in a relatively small area.

Abstract: An exemplary camera calibration apparatus includes a movable, e.g., rotatable, support structure which is controllably positioned to allow for image capture of different test patterns and image capture of the same pattern at different distances by a mounted camera. A first test pattern is mounted on a wall, e.g., a pyramid shaped 4 sided wall formed by panels surrounding the camera under calibration. The movable support structure has a first mirror attached to a first side and has a second test pattern attached to a second side. A second mirror mounted on an internal sidewall of the calibration apparatus housing facilities a different image path distance between the camera capturing the image of the first test pattern and the first test pattern. The exemplary camera calibration apparatus is well suited for efficiently calibrating camera devices including a plurality of camera modules, e.g., optical chains, in a relatively small area.

Abstract: A method for detecting an object in a depth image includes determining a detection window covering a region in the depth image, wherein a location of the detection window is based on a location of a candidate pixel in the depth image, wherein a size of the detection window is based on a depth value of the candidate pixel and a size of the object. A foreground region in the detection window is segmented based on the depth value of the candidate pixel and the size of the object. A feature vector is determined based on depth values of the pixels in the foreground region and the feature vector is classified to detect the object.

Abstract: A method for detecting an object in a depth image includes determining a detection window covering a region in the depth image, wherein a location of the detection window is based on a location of a candidate pixel in the depth image, wherein a size of the detection window is based on a depth value of the candidate pixel and a size of the object. A foreground region in the detection window is segmented based on the depth value of the candidate pixel and the size of the object. A feature vector is determined based on depth values of the pixels in the foreground region and the feature vector is classified to detect the object.