Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Mihoko Shimano

Jun Ozawa

Takeo Azuma

Kenji Nagao

Tomonobu Naruoka

Etsuko Nagao, Legal Representative

Etsuko Nagao

Toshiaki Akimoto

An image synthesizing device for synthesizing a second image of an object in a predetermined illumination condition from a first image of the object includes an illumination condition estimation section for estimating an illumination condition from a luminance value of the first image, and a normal information estimation section estimates normal information containing a normal direction of the object, with regard to a predetermined pixel in the first image. An error component information estimation section estimates information of an error component in the predetermined illumination condition, an image synthesizing section synthesizes the second image of the object in the predetermined illumination condition, and the normal information estimation section estimates normal information of a predetermined pixel from information of a plurality of the pixels in the first image.

Image synthesizing device, image collation device using the same, image synthesizing method and program

A roll correction section () performs correction to an image captured by a camera (). A region limiting section () limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section () detects, from the limited and output image data, a roll amount of the image. A roll correction section () performs correction based on the detected roll amount.

Image capturing processing method and system for performing roll correction

A normal line information estimation device for estimating normal line information of an object from an image of the object. The normal line information estimation device includes an illumination direction estimation section for estimating an illumination direction with respect to the object in the image from a luminance value of the image; a normal line information estimation section for estimating the normal line information of the object in the image based on the illumination direction; and a specular reflection component estimation section for estimating a specular reflection component of the image from the normal line information of the object and the illumination direction with respect to the object. The normal line information estimation section estimates the normal line information again from the image from which a specular reflection component has been removed in the specular reflection component section.

Normal line information estimation device, registered image group formation device and image collation device, and normal line information estimation method

Image pickup processing method and image pickup apparatus

Based on image data taken and acquired by any one of a plurality of cameras, a predetermined object included in the image is recognized by pattern matching. A plurality of databases associated with a plurality of cameras is provided and a database to be used is changed according to the camera to be used. The plurality of databases can also be changed according to conditions such as weather and environment.

Method and apparatus for object recognition using a plurality of cameras and databases

In the present invention, model data groups each comprised of a plurality of items of model data are classified according to predetermined item and are thereby classified into classes each having a smaller distribution than a category that an application requires, a representative value of each class is compared with input data, a class with the representative value having a highest degree of similarity with the input data is determine, a category to which the class belongs is obtained, and thus the category to which the input data belongs is determined.

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Tokyo, Japan

Mihoko Shimano