Abstract: A system and method are disclosed for determining and alerting a user as to whether an object will successfully scan before the post-processing of the scan data. In embodiments, before post-processing of the scan data begins, the scan data is processed by a machine learning algorithm which is able to determine whether and/or how likely the scan data is to return an accurate scanned reproduction of the scanned object. The machine learning algorithm may also suggest new positions for the object in the environment where the scan is more likely to be successful.

Abstract: A method for generating a three-dimensional virtual representation includes performing a first scan of the physical object while the physical object has a first position. A displayed visualization of the physical object is generated based on the first scan. Aligning input is received that causes increased correspondence between the displayed visualization and a second position of the physical object. A second scan of the physical object is performed while the object is in the second position. Based on the first scan and the second scan, a three-dimensional virtual representation of the physical object is generated.

Abstract: A method for generating a three-dimensional virtual representation includes performing a first scan of the physical object while the physical object has a first position. A displayed visualization of the physical object is generated based on the first scan. Aligning input is received that causes increased correspondence between the displayed visualization and a second position of the physical object. A second scan of the physical object is performed while the object is in the second position. Based on the first scan and the second scan, a three-dimensional virtual representation of the physical object is generated.

Abstract: A system and method are disclosed for determining and alerting a user as to whether an object will successfully scan before the post-processing of the scan data. In embodiments, before post-processing of the scan data begins, the scan data is processed by a machine learning algorithm which is able to determine whether and/or how likely the scan data is to return an accurate scanned reproduction of the scanned object. The machine learning algorithm may also suggest new positions for the object in the environment where the scan is more likely to be successful.

Abstract: A method comprises receiving one or more depth images from a depth camera, the depth images indicating a depth of a surface imaged by each pixel of the depth images. The method may further comprise identifying a human subject imaged by the depth images and recognizing within one or more of the depth images a beacon emitted from a control device. A position of the control device may be assessed in three dimensions, and the control device may be associated with the human subject based on a proximity of the control device to the human subject or other parameter of the control device with relation to the human subject.

Abstract: A control device includes a housing. The control device also includes a wireless communicator interior the housing. The wireless communicator wirelessly sends commands for controlling an electronic device, such as a game console. The control device also includes a reflector positioned to reflect light directed at the housing.

Abstract: A control device includes a housing. The control device also includes a wireless communicator interior the housing. The wireless communicator wirelessly sends commands for controlling an electronic device, such as a game console. The control device also includes a reflector positioned to reflect light directed at the housing.

Abstract: A control device includes a housing. The control device also includes a wireless communicator interior the housing. The wireless communicator wirelessly sends commands for controlling an electronic device, such as a game console. The control device also includes a reflector positioned to reflect light directed at the housing.

Abstract: A control device includes a housing. The control device also includes a wireless communicator interior the housing. The wireless communicator wirelessly sends commands for controlling an electronic device, such as a game console. The control device also includes a reflector positioned to reflect light directed at the housing.

Abstract: A method comprises detecting a control device, and if the control device is not bound to the computing system, detecting an optical beacon emitted from the control device and binding the control device to the computing system.

Abstract: A method comprises receiving one or more depth images from a depth camera, the depth images indicating a depth of a surface imaged by each pixel of the depth images. The method may further comprise identifying a human subject imaged by the depth images and recognizing within one or more of the depth images a beacon emitted from a control device. A position of the control device may be assessed in three dimensions, and the control device may be associated with the human subject based on a proximity of the control device to the human subject or other parameter of the control device with relation to the human subject.