Abstract: 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.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: 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.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: 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, a normal information estimation section for estimating normal information containing a normal direction of the object, about a predetermined pixel in the first image, an error component information estimation section for estimating information of an error component in the predetermined illumination condition, and an image synthesizing section for synthesizing 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.

Abstract: 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.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: A roll correction section (21) performs correction to an image captured by a camera (11). A region limiting section (15) limits image data of an image in an upper region of the image and outputs the image data and a roll amount detection section (13) detects, from the limited and output image data, a roll amount of the image. A roll correction section (21) performs correction based on the detected roll amount.

Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present invention detects distances between cars through image processing. A car ahead is detected from an image taken by one camera and a relative positional relation between the detected vehicle and road edges is detected. On the other hand, a three-dimensional road structure is reconstructed from the image taken by one camera. Then, taking into account the relative positional relation in the image between the vehicle and road edges, the position of the vehicle on the reconstructed three-dimensional road structure is determined. Then, the distance from the camera to the vehicle in the real space is measured through arithmetic operations. By focusing the range of performing image processing in one image, it is possible to reduce the amount of data handled.

Abstract: 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.