A HOUGH TRANSFORM FOR DETECTING THE LOCATION AND ORIENTATION OF 3-DIMENSIONAL SURFACES VIA COLOR ENCODED SPOTS

Video-rate three-dimensional (3-D) acquisition is desirable, in partic ular for capturing the mouth's shape when modeling the vocal tract, In a new structured light technique, scenes are illuminated by an array of circular spots which are color encoded to resolve spatial ambiguity , The position and shape of the imaged spots depend on the location an d orientation of the illuminated 3-D surface, We present a novel 3-D H ough transform (HT) to detect 3-D surface location and orientation via the imaged spots, with voting constraints applied to maximize potenti al accuracy, This new technique is demonstrated to successfully extrac t the 3-D data for a moving face from images acquired at video-rate.