Abstract:
A method for providing hand segmentation for gesture analysis may include determining a target region based at least in part on depth range data corresponding to an intensity image. The intensity image may include data descriptive of a hand. The method may further include determining a point of interest of a hand portion of the target region, determining a shape corresponding to a palm region of the hand, and removing a selected portion of the target region to identify a portion of the target region corresponding to the hand. An apparatus and computer program product corresponding to the method are also provided.
Abstract:
A method for providing hand detection may include receiving feature transformed image data for a series of image frames, determining asymmetric difference data indicative of differences between feature transformed image data of a plurality of frames of the series of image frames and a reference frame, and determining a target area based on an intersection of the asymmetric difference data. An apparatus and computer program product corresponding to the method are also provided.
Abstract:
It is inter alia disclosed to classify samples of a set of samples of an image regarding whether or not a respective sample comprises optical information on a specific object type based on classification information. Therein, the classification information comprises a plurality of classifiers, each classifier being associated exclusively with one colour channel of a plurality of colour channels.