Matsushita Electric Industrial Co., Ltd.

Katsuhiro Iwasa

Hideaki Matsuo

Kazuyuki Imagawa

Yuji Takata

Tetsuya Yoshimura

Ikuo Fuchigami

Satoshi Kajita

Tomonori Kataoka

Takaaki Nishi

Naruatsu Baba

Eiji Fukumiya

Toshirou Eshima

An image processing method for detecting an object from an input image using a template image, including inputting a specified image with respect to both a template image and an input image, calculating an edge normal direction vector of said specified image, generating an evaluation vector from said edge normal direction vector, subjecting the evaluation vector to orthogonal transformation, a step of performing a product sum calculation of corresponding spectral data with respect to each evaluation vector that has been subjected to orthogonal transformation and has been obtained for each of said template image and said input image, and a step of subjecting it to inverse orthogonal transformation and generating a similarity value map. The formula of the similarity value, the orthogonal transformation, and the inverse orthogonal transformation each have linearity. The pattern recognition is one in which the component of the similarity value is not subjected to positive/negative reversal through variations in brightness of the background.

Image processing method and apparatus for comparing edges between images

The position of a body part area for a personal image in an input image is detected. According to the position of the detected body part area, the position of the origin of a coordinate system for an ornament image is defined. Based on the position of the defined origin, an ornament-arranged input image is outputted. When the personal image moves in the input image, the ornament image also moves by following the movement of the personal image. Even when both the personal image and ornament image move, the ornament image can be made not to interfere with the personal image. Therefore, the personal image can be clearly displayed. Moreover, the input image can be made to look more interesting by synchronizing the movement of the ornament image with the movement of the personal image.

Method and apparatus for image processing

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

The present media editing device generates media including messages in an easy manner in a communication terminal such as a mobile terminal. Therein, a moving image data storage part stores moving image data recorded by a user. A region extraction part extracts any region including the user from the moving image data. A front determination part detects whether or not the user in the extracted region is facing the front. A sound detection part detects the presence or absence of a sound signal of a predetermined level or higher. A frame selection part determines starting and ending frames based on the results outputted from the front determination part and the sound detection part. An editing part performs, for example, an image conversion process by clipping out the media based on thus determined starting and ending frames. A transmission data storage part stores the resultantly edited media as transmission data.

Method and device for media editing

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Iizuka, Japan

Katsuhiro Iwasa