Fujitsu Corporation

Nobuyuki Hara

Taichi Murase

Atsunori Moteki

Katsuhito Fujimoto

Yoshinobu Hotta

Akihiro Minagawa

Noriaki Ozawa

Takehiro Nakai

Takahiro Matsuda

Yutaka Katsuyama

Hiroaki Takebe

Yusaku Fujii

Koichiro Niinuma

Wei Fan

Toshiyuki Yoshitake

Koichi Fujimura

Masafumi Tada

Shouichi Kuboyama

An image processing apparatus including a memory, and a processor configured to make a display device display an image captured by an image capturing device, measure a time for which a hand region remains still when detecting the hand region in a first specific shape corresponding to a designation operation of designating a part in the image, identify the part designated by the designation operation when the time for which the hand region remains still reaches a predetermined time, and make a display device display an image resulting from execution of predetermined image processing for the identified part when at least one of a hand region in a second specific shape and a specific movement of a hand region is detected in the image captured by the image capturing device.

Image processing apparatus, non-transitory computer-readable recording medium, and image processing method

An image processing device includes memory; and a processor configured to execute a plurality of instructions stored in the memory, the instructions comprising: recognizing a target object recognized from a first image, which is a captured image, including the target object in a real world; controlling a second image, which is an augmented image, including information of the target object from the first image, and a third image which is an augmented image of the second image and to be formed so as to inscribe an outer surrounding the second image and covers a center of visual field of a user relative to the second image; and displaying, in a state where the user directly visually recognizes the target object in the real world, the second image and the third image such that the second image and the third image are caused to correspond to a position.

Image processing device and image processing method

An image processing method includes recognizing a first object that is included in the image data, calculating a positional variation amount of a feature point that corresponds to the first object and is moving in an image center direction so as to calculate a moving speed of the first object on the basis of the positional variation amount, determining whether or not the first object is a gaze target object of the user, in accordance with a behavior of the first object, the behavior being obtained on the basis of the positional variation amount of the first object among the plurality of image data, of which acquisition time is respectively different and whether or not the object continuingly exists in a second region, the second region being positioned in an inside of the first region and including a center point of the image data, for a predetermined period of time.

Image processing device, image processing method, and a computer-readable non-transitory medium

An information processing apparatus includes an image capturing section to capture an image of a hand; an extracting section to extract a hand area from the captured image; a reference line determining section to determine a reference pushdown line in the image on the hand area; a determining section to determine a pushdown move if the bottom part of the hand area comes below the reference pushdown line; a first position determining section to determine a depth position based on an aspect ratio of the hand area if the pushdown move is determined; a second position determining section to determine a lateral position based on a position of the bottom part of the hand area if the pushdown move is determined; and an input key determining section to determine an input key from the determined depth position and lateral position.

Information processing apparatus and input control method

A method for inputting a character executed by a computer that inputs a character, the method includes: obtaining a first pressed position at which the pressing operation has been performed and a first key corresponding to the first pressed position; detecting deletion of a character input using the first key; obtaining, when the deletion is detected, a second pressed position at which a next pressing operation has been performed and a second key corresponding to the second pressed position; determining whether or not a distance between the first pressed position and the second key is smaller than or equal to a threshold; and correcting, when the distance is smaller than or equal to the threshold, a range that is recognized as the second key in the region on the basis of the first pressed position.

Method for inputting character and information processing apparatus

An image processing device that accesses a storage unit that stores a feature point of a recognition-target object, the device includes an obtaining unit mounted with a user and configured to obtain image data in a direction of a field of view of the user; a recognizing unit configured to recognize the recognition-target object included in the image data by extracting a feature point from the image data and associating the extracted feature point and the feature point of the recognition-target object stored in the storage unit with each other; a calculating unit configured to calculate a location change amount of the feature point corresponding to the recognition-target object recognized by the recognizing unit from a plurality of the image data obtained at different times and calculate a motion vector of the recognition-target object from the location change amount; and a determining unit configured to determine a movement.

Image processing device and method

An image processing device includes, a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, acquiring an image including a subject recognized and a movement site of a user; recognizing the subject recognized and the movement site from the image; and controlling a display location, in the image, of an additional information image corresponding to the subject recognized, to a location other than the subject recognized and the movement site.

Image processing device, image processing method

A finger position detection device includes a processor; and a memory which stores a plurality of instructions, which when executed by the processor, cause the processor to execute, detecting a hand region that includes a plurality of fingers from an image captured by an image capturing unit that captures an image of the plurality of fingers from in front of the fingers; dividing a first region that is at least a part of the hand region into a plurality of first cells of a first size and extracting, from each of the plurality of first cells, a first feature value that represents a feature of a position of one of the plurality of fingers in a depth direction with respect to the image capturing unit; dividing a second region that is at least a part of the hand region into a plurality of second cells of a second size.

Device and method for detecting finger position

An image processing apparatus includes a central-portion extracting unit, a classifying unit and a determining unit. The central-portion extracting unit extracts edges from an image area and extracts a plurality of central portions of areas each of which is sandwiched between the edges. The classifying unit groups the central portions by classifying adjacent central portions that have no edge therebetween into a single group. The determining unit determines an area of finger, the area of finger being surrounded by the central portions classified into a group by the classifying unit and peripheral edges of the central portion, the area of finger being an area where a ratio of a luminance gradient in a short side direction to a luminance gradient in a long side direction is within a predetermined threshold.

Image processing apparatus, image processing method, and non-transitory computer readable storage medium

A character area extracting device includes a reflective and non-reflective area separation unit separating image data into reflective and non-reflective areas, and binarizing the image data by changing a first threshold value when it is inappropriate; a reflective area binarizing unit separating the reflective area into character and background areas, and binarizing it by changing a second threshold value when it is inappropriate; a non-reflective area binarizing unit separating the non-reflective area into the character and background areas, and binarizing it by changing a third threshold value when it is inappropriate; a reflective and non-reflective area separation evaluation unit; and a line extracting unit connecting the character areas of the reflective and non-reflective areas and extracting positional information of the connected character areas in the image data.

Character area extracting device, imaging device having character area extracting function, recording medium saving character area extracting programs, and character area extracting method

In a moire fringes eliminating apparatus, a moire fringe eliminating unit comprises a halftone dot feature extracting unit, a re-calculation unit, a re-calculation deciding unit, and a halftone dot shape changing unit. The halftone dot feature extracting unit extracts features of the halftone dots. The re-calculation unit obtains a re-calculation deciding value which represents a ratio between a total number of the halftone dots in a neighboring area and the number of the halftone dots having a similarity of feature being smaller than a predetermined threshold value in the neighboring area. The re-calculation deciding unit decides whether the threshold value should be changed in order to decide necessity of change of the number of dots based on the re-calculation deciding value. The halftone dot shape changing unit obtains an amount of change of the number of dots to be increased or decreased for a target halftone dot, based on an amount of feature of the halftone dots which are output when the threshold value is not changed in the neighboring area, an amount of the feature of the target halftone dot, and the number of dots of the target halftone dot.

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Meguro, Japan

Nobuyuki Hara