Hitachi, Ltd.

Alistair Ian Sutherland

Masahiro Abe

Sean McGrath

Anthony Smith

Hiroshi Sako

Anthony Vernon Smith

Arnaud Lemoine

Noise problems in processing small images or large-granularity images are reduced by representing hand images as rotational vectors calculated using a real-valued centroid. The hand region is therefore sectored independently of pixel quantization. Color segmentation is used to identify hand-color regions, followed by region labelling to filter out noise regions based on region size. Principal component analysis is used to plot gesture models.

Hand gesture recognition system and method

A camera (10) captures a subject facial image. A unit (30) generates a tracking signal containing feature extraction data. In conjunction with a memory store (40), the unit (30) generates an output signal representing a substitute face having the features of the subject face. To generate the tracking signal, the facial area is detected (3103, 3107-8) initially and used in location of the mouth (3102, 3110-3114) and eyes (3104-6, 3115-3118). Only the H and S components are used for detecting the facial area; and only the S and V components for the mouth within the facial area. A face vector may be generated (50) using the tracking signals.

Facial image processing

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Dublin, Ireland

Alistair Ian Sutherland