Minolta Company, Ltd.

Konica-minolta Holdings, Inc.

Minolta Camera Kabushiki Kaisha

Yuichi Kawakami

Nobukazu Kawagoe

Kyoko Nakamura

Yuusuke Nakano

Yasuhisa Kinto

Hideaki Nakanishi

Toshio Norita

Eiro Fujii

Hironori Sumitomo

Daisaku Horie

Hakuzo Tani

Shigeru Oyokota

Yoshiko Sakagawa

Youichi Kawakami

Takayuki Hamaguchi

Hiroshi Furukawa

Tomoyuki Terada

Koichi Shiono

Teruo Ichikawa

Natsuko Waki

Ken Yoshii

A parallax calculator sets a plurality of target points in each standard image and calculates parallaxes of the individual target points. An optical flow calculator calculates two-dimensional optical flows of the individual target points by searching for points corresponding to the target points set in the standard image captured in a frame immediately preceding a current frame. A movement calculation block calculates a forward moving speed of the moving body and angular velocities thereof in both a pitch direction and a pan direction.

Analyzer

An apparatus received input of a base image and a reference image that are images picked up by two cameras provided on left and right. A window setting portion determines a size of a window based on an edge value of an image around a gaze point in the base image. A position deviation operation portion operates deviation between the image in the window of the base image and the image in the window of the reference image. A three-dimensional coordinate operation portion operates a three-dimensional coordinate of a surface of an object based on deviation between the images.

Image processing apparatus, method of controlling image processing apparatus, and program for controlling image processing apparatus

An apparatus receives a base image and a reference image that are images picked up by two cameras provided on left and right. A weight coefficient determination portion determines a coefficient for cutting off a high-frequency region of combined phase spectrum of the base image and the reference image, based on an image pickup condition of the camera and texture information of the image in a window centered on a gaze point within the base image.

Image processing apparatus capable of operating correspondence between base image and reference image, method of controlling that image processing apparatus, and computer-readable medium recording program for controlling that image processing apparatus

An authentication system comprises: a generating part for generating face information including at least one of three-dimensional shape information and two-dimensional information in the face of a first person to be authenticated on the basis of measurement information of the first person; a model modifying part for modifying a standard model of a human face by using the face information, thereby generating an individual model of the face of the first person; a calculating part for calculating a first model perfection level as a perfection level of the individual model on the basis of reliability of the face information; an extracting part for extracting first feature information as feature information of the first person from the individual model; an obtaining part for obtaining second feature information as feature information of a second person to be compared which is pre-registered; and an authenticating part for performing an authenticating operation on the first person by using the first model perfection level in addition to similarity between the first feature information and the second feature information.

Authentication system and registration system related to facial feature information

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 image processing apparatus first forms an edge image of an input image using, for example, SOBEL operator, and performs a smoothing process on the formed edge image by using an average filter. Thereafter, the image processing apparatus calculates a difference between the edge image and the edge smoothed image, and binarizes the edge image based on the difference.

Image processing apparatus capable of highly precise edge extraction

A monitoring apparatus according to the present invention has an image taking section which captures images of a plurality of image capturing areas, a detecting section which detects an object to be monitored based on an image obtained by the image taking section, a command receiving section which receives a command for remote control, and a command executing section which executes a process corresponding to the received command when the object is not detected by the detecting section.

Monitoring apparatus, monitoring method, monitoring program and monitoring program recorded recording medium readable by computer

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

The three-dimensional data input method uses the three-dimensional data input apparatus that includes a monitor screen for confirming an object and is constructed to input the three-dimensional data of the object by shooting the object. In accordance with the three-dimensional data inputted from a part of the object Q, an image of the three-dimensional shape model that corresponds to the shape is generated. The image of the three-dimensional shape model is displayed on the monitor screen as a guide image for framing. The framing is performed so that the guide image is overlapped on the portion of the object image corresponding to the guide image, so that the object is shot after the framing is performed.

Three-dimensional data input method and apparatus

A moving robot first moves straight in a first forward path. When encountering an obstacle such as shelf, the robot makes a U-turn to move straight in a backward path located with a prescribed distance away from the first forward path. When encountering another obstacle, the robot again makes a U-turn to move straight in a second forward path extending in the same direction as that of the first forward path but located with a distance away from the backward path. When the robot exceeding the point of the U-turn in the first forward path is detected during running in the second forward path, presence of a region where the robot has not run yet is recognized, and running in that region is carried out thereafter.

Moving apparatus for efficiently moving on floor with obstacle

When an autonomous vehicle detects an interruption in a wall, a plurality of optical distance measurement sensors provided in a driving unit measures the distance to a plurality of points of an object of interest located ahead. The configuration of the object of interest located ahead is recognized from the obtained distance information and from the attached angle of each optical distance measurement sensor to determine the subsequent operation of the autonomous vehicle.

Autonomous vehicle that runs while recognizing work area configuration,

An autonomous vehicle capable of traveling and stopping parallel to a wall includes right and left driving wheels receiving driving force to be driven independently, a dependent wheel for supporting the autonomous vehicle together with the driving wheels for a straightforward movement and a U-turn, a motor for driving the right and left driving wheels, a coupling mechanism for transmitting the rotation of the motor to the driving wheels, an encoder for detecting the rotation amount and velocity of the motor, a gyro sensor for detecting the direction of the autonomous vehicle, a distance measurement sensor for measuring the distance to a right or left object of interest, and a controller for controlling the autonomous vehicle through the motor and the driving wheels. The controller receives the output of the encoder, calculates a control value for the driving wheels based on the rotation amount and rotation velocity of the motor, and determines that the autonomous vehicle travels parallel to the wall if the ratios of a time period to turn the autonomous vehicle rightward and a time period to turn the vehicle leftward in a prescribed time period are equal based on the control value.

Autonomous vehicle capable of traveling/stopping in parallel to wall and

A vehicle has a sensor for detecting a first distance to a first object and a second distance to a second object located on the other side of the first object. The vehicle travels along a path between the first object and the second object based on the detected first and second distances. A vehicle has a sensor for detecting a distance to an object and a working unit which is movably connected with a main body. The working unit is moved based on the detected distance to the object.

Automatic vehicle

When a running vehicle moves backward and a right back portion of the robot, which is one end of it touches a wall, the robot is rotated to the left until a left back portion of the robot touches the wall. The angle of rotation .beta. at this time is measured and the value .beta./2 is represented by .alpha.. The robot is rotated to the right by the angle .beta.-.alpha.. Therefore, the robot is positioned perpendicular to the wall. Thereafter, the robot is moved backward until the back portion of the robot touches the wall. As a result, an apparatus for positioning the running robot relative to the wall is provided.

Growing community of inventors

Nishinomiya, Japan

Yuichi Kawakami