Abstract: Structured light is directed across a monitored region. An image is captured of a light pattern that forms on the object as a result of the object intersecting the structured light when the object is placed at a first position in the monitored region. A geometric characteristic is identified of the image of the light pattern. The geometric characteristic is variable with a depth of the first position relative to where the image is captured. The depth of the first position is approximated based on the measured geometric characteristic.

Abstract: Structured light is directed across a monitored region. An image is captured of a light pattern that forms on the object as a result of the object intersecting the structured light when the object is placed at a first position in the monitored region. A geometric characteristic is identified of the image of the light pattern. The geometric characteristic is variable with a depth of the first position relative to where the image is captured. The depth of the first position is approximated based on the measured geometric characteristic.

Abstract: Objects may be recognized through various levels of recognition using a combination of senors and algorithms such as described herein. In order to perform recognition, a depth distance or range is obtained for each surface region in a plurality of surface regions that form a viewable surface of the object that is to be recognized. An identification for the plurality of surface regions.

Abstract: Three-dimensional position information is used to identify the gesture created by a body part of interest. At one or more instances of an interval, the posture of a body part is recognized, based on the shape of the body part and its position and orientation. The posture of the body part over each of the one or more instances in the interval are recognized as a combined gesture. The gesture is classified for determining an input into a related electronic device.