Fujitsu Corporation

Takehiro Nakai

Akifumi Izumisawa

Katsuhito Fujimoto

Taichi Murase

Hiroshi Katayama

Noriaki Ozawa

Nobuyuki Hara

Chiharu Kawai

Hiroyuki Kobayashi

Masayoshi Shimizu

Kimitaka Murashita

Atsunori Moteki

Masayuki Hirose

Kaoru Chujo

Hideaki Kurihara

Yasuhiro Kawakatsu

Takashi Wakamatsu

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

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 selection device includes: an image acquiring unit which acquires a plurality of shot images acquired by continuously shooting a subject; an area segmentation unit which segments an image area of the shot image into a motion area indicating different positions by a specified amount or more between two shot images and a non-motion area other than the motion area based on the two consecutive shot images in time series in the plurality of shot images; and a selection unit which selects at least one shot image from the plurality of shot images based on an amount of blur of an image in the non-motion area.

Image selection device and image selecting method

An image pickup apparatus includes an imaging element for acquiring an image of a target object; a detector for detecting movement of the image pickup apparatus; and a controller for controlling focus of the imaging element on the target object while the movement of the image pickup apparatus detected by the detector is not more than a threshold degree.

Image pickup apparatus and focusing mechanism control method

An image capturing apparatus includes an image capturing unit having a function for adjusting a focal length, a stillness determination unit which determines whether or not a motion of the image capturing apparatus is within a predetermined range, a focal length adjustment processing unit which performs first focal length adjustment processing which adjusts the focal length in a direction for close-up photography when the motion of the image capturing apparatus is within the predetermined range, and a code recognition processing unit which recognizes a code from an image captured by the image capturing unit while the first focal length adjustment processing is being performed.

Image capturing apparatus, image capturing method, and recording medium including a focal length adjustment unit

An image shooting device with a camera shake correction function is provided. The image shooting device is capable of avoiding the deterioration of image quality due to performing camera shake correction. An image shooting control unit of the image shooting device can be configured to select to take in either one piece of image data for ordinary image shooting or a plurality of pieces of image data for camera shake correction, on the basis of the determination result of a determination unit. It also can be configured to take in both one piece of image data for ordinary image shooting and a plurality of pieces of image data for camera shake correction.

Image shooting device with camera shake correction function

The present invention provides an acoustic echo canceler for use in a telephone set having a handsfree conversation function. This acoustic echo canceler simultaneously achieves both the stabilization and speedup of an estimation operation and also attains the more improvement of speech quality. Moreover, the present invention provides a handsfree telephone set employing this acoustic echo canceler. Furthermore, this acoustic echo canceler is operative to cancel an echo generated by inputting an output of an acoustic device to itself substantially simultaneously with the outputting the output thereof. Further, this acoustic echo canceler comprises an adaptive filter for performing an operation of estimating the frequency characteristic and the phase characteristic of a part, whose frequency characteristic and phase characteristic vary, on an acoustic path and a fixed coefficient filter for simulating a part, whose frequency characteristic and phase characteristic are fixed, on the acoustic path.

Acoustic echo canceler and handsfree telephone set

A speech-recognizing apparatus for recognizing input speech comprises, an analysis unit for computing a characteristic vector for each of frames of the input speech, a correction-value storage unit for storing a correction distance in advance, a vector-to-vector-distance-computing unit for computing a vector-to-vector distance between the characteristic vector and the phoneme characteristic vector, an average-value-computing unit for computing an average value of vector-to-vector distances for one of the frames, a correction unit for computing a corrected vector-to-vector distance as a value of an expression of (the vector-to-vector distance-the average value&plus;the correction distance), and a recognition unit for cumulating corrected vector-to-vector distances into a cumulative vector-to-vector distance and comparing the cumulative vector-to-vector distance with the word standard pattern in order to recognize the input speech.

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Kawasaki, Japan

Takehiro Nakai