Matsushita Electric Industrial Co., Ltd.

Naruatsu Baba

Hideaki Matsuo

Kazuyuki Imagawa

Yuji Takata

Katsuhiro Iwasa

Toshirou Eshima

Toshiaki Ejima

A face detection device includes a face learning dictionary, which holds learned information for identification between a facial image and a non-facial image. An image input unit inputs a subject image. An edge image extraction unit extracts an edge image from the subject image. A partial image extraction unit, based on the edge image, extracts partial images that are candidates to contain facial images from the subject image. A face/non-face identification unit references the learning dictionary to identify whether or not each extracted partial image contains a facial image. Face detection of high precision, which reflects learned results, is performed.

Face detection device, face pose detection device, partial image extraction device, and methods for said devices

In a broadly-applicable face image extraction device and method for defining a face by position and size in target images varied in type for face image extraction at high speed, an edge extraction part extracts an edge part from a target image and generates an edge image. A template storage part previously stores a template composed of a plurality of concentric shapes varied in size. A voting result storage part has voting storage regions for each size of the concentric shapes of the template so as to store the result obtained by voting processing carried out by a voting part The voting part carries out the voting processing utilizing the template at each pixel in the edge image, and stores the result obtained thereby in the corresponding voting storage region. After the voting processing, an analysis part performs cluster evaluation based on the voting results stored in the voting storage regions, and then defines the face in the target image by position and size.

Device and method for face image extraction, and recording medium having recorded program for the method

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Iizuka, Japan

Naruatsu Baba