Minolta Company, Ltd.

Konica-minolta Holdings, Inc.

Yuusuke Nakano

Yuichi Kawakami

Daisaku Horie

Kazuchika Sato

Hironori Sumitomo

Mutsuhiro Yamanaka

Youichi Kawakami

In order to generate a three-dimensional shape model corresponding to a two-dimensional image easily, a data processing apparatus includes a three-dimensional shape generating section and a texture image generating section generating a three-dimensional shape and a texture image, respectively, upon application of a model parameter, a two-dimensional image input section receiving an input two-dimensional image, a modulating section for modulating the input two-dimensional image to the three-dimensional shape, and a parameter transforming section calculating a parameter of the modulated two-dimensional image and applying the calculated parameter to the three-dimensional shape generating section and to the texture image generating section.

Method and apparatus for data processing recognizing an object represented as two-dimensional image

An apparatus for detecting a person or the like from an image extracts candidates, which are considered to human body regions, from the image. Region likelihood probabilities of the respective candidates are obtained, and a human body likelihood of a collection of the candidates is probabilistically calculated using the region likelihood probabilities and correlations among the candidates. It is thereby possible to detect the person robustly against occlusion or change in photographic environment without increasing calculation cost.

Method for detecting object formed of regions from image

An object detection apparatus is provided that detects a target object correctly without decreasing a process speed so much even if there is a change in a shooting environment. The human body detection apparatus for detecting a human body in an image includes an image input portion for entering an image taken by a camera, a plurality of plane generation portions for detecting features of the image by using different methods, a section for obtaining conditions about shooting by the camera, a section for calculating reliability values of features detected by the plane generation portions in the case of the obtained condition, and a detection process portion for detecting a human body in the shot image in accordance with features detected from the shot image detected by one or more of the plane generation portions and reliability values of the features.

Object detection apparatus, object detection method and computer program product

The present invention provides an object measuring apparatus capable of performing high-speed process and accurately counting the number of a plurality of objects even in the case where the plurality of objects pass a boundary line simultaneously. The object measuring apparatus extracts motion vectors at a plurality of times in each of a plurality of positions on a boundary line on the basis of a plurality of images. The object measuring apparatus obtains at least one integral value by integrating components perpendicular to the boundary line of the motion vectors. As the at least one integral value, for example, an integral value derived by integrating the perpendicular components of one of positive and negative signs is obtained. The object measuring apparatus calculates the number of moving objects (people and the like) passing the boundary line on the basis of the integral value.

Object measuring apparatus, object measuring method, and program product

An image of which restoration degree is determined based on the difference between each pixel and a neighboring pixel of the pixel in a light receiving element arrayis divided into a plurality of areas based on the determined restoration degree, and the areas of the image are each restored in accordance with the determined restoration degree. By doing this, not only ringing and noise enhancement can effectively be suppressed but also the border between the areas which is conspicuous when the image is divided into two kinds of areas becomes less conspicuous, so that a natural restored image can be obtained.

Apparatus, method, program and recording medium for image restoration

The transposed filter of the image degrading filter is calculated, and a residual gradient image is calculated by the convolution operation of the transposed filter and a residual image obtained from the image degrading filter, the estimated restored image and the degraded image. Then, a modified image of the estimated image is calculated from the residual gradient image, and the estimated image is modified and updated based on the modified image. Consequently, even when the degradation function is one that can be expressed as a complicated helical filter, the memory consumption is small and the calculation time is short compared to a method depending on a large matrix and an inverse matrix.

Image restoration apparatus by the iteration method

In order to eliminate influence due to difference in the image pickup condition from an input image, an image processing apparatus includes a landmark point data input unit to input coordinates of a landmark point of a face image input through an image input unit and the grey-level value of texture of a face image, an inclination amount input unit to input an inclination amount of a face image in the depth direction, and an image space formation unit forming an image space by carrying out principal component analysis on a plurality of landmark point data and a plurality of inclination amounts with respect to a plurality of the input face images.

Image processing apparatus, image processing method, and recording medium recorded with image processing program to process image taking into consideration difference in image pickup condition using AAM

Growing community of inventors

Akashi, Japan

Yuusuke Nakano