Fujitsu Corporation

Panasonic Intellectual Property Management Co., Ltd.

Shinoda Plasma Corporation

Panasonic Corporation

Oki Electric Industry Co., Ltd.

Panasonic Intellectual Property Corporation of America

Nsk Corporation

Shinoda Plasma Co., Ltd.

Pierre Fabre Medicament

Fujitsu Limted

Guangdong Telecom Academy of Science and Technology

Hitoshi Yamada

Akira Tokai

Manabu Ishimoto

Kenji Awamoto

Tsutae Shinoda

Hitoshi Hirakawa

Jun Ohmiya

Koji Shinohe

Yosuke Yamazaki

Sheng Mei Shen

Akira Nakazawa

Koji Nakamichi

Akiko Yamada

Akiko Okamura

Pongsak Lasang

Satoshi Imai

Hitoshi Ueno

Nobuhiro Kawamura

Tsuguo Kato

Bo Li

Masafumi Katoh

Akira Nagata

Akira Chugo

Mitsunori Fukazawa

Chin Phek Ong

Katsuichi Nakamura

Seiji Nomiyama

Sugiko Itagaki

Lei Li

Satoshi Ueda

Yusuke Monobe

Masayuki Kimura

Ryuichi Takechi

Yoshihiko Imanaka

Tadashi Nakatani

Takeshi Kawasaki

Noriyuki Awaji

Naoki Koga

Tamihiro Ishimura

Hiroaki Inoue

Hideyuki Amada

Yoshimasa Sekino

Yoichiro Igarashi

Xun Chen

Nobuyuki Endo

Nobuhiro Iwase

Mineo Noguchi

Yoshio Ohtsuki

Kazumi Suzuki

Hiroshige Masuda

Keita Waseda

Hisashi Matsushita

Satoshi Yashiki

Ichiro Joko

Takashi Iawasaki

Hidehito Okuda

Naoto Noguchi

Thanaphat Thummanuntawat

Takashi Iwasaki

Yangchun Li

A video conference apparatus includes a relay unit that is configured to transmit video image data acquired at a site of a first conference system to a second terminal provided in a second conference system and transmit video image data of the second conference system to a first terminal provided in the first conference system. The relay unit is configured to transmit only a combined video image of video images at respective sites of the first conference system to the second terminal as first video image data, and transmit a video image sent from the second terminal to the first terminal as second video image data.

Conference system, video conference apparatus, and video image processing method

An image processing device includes: a data obtainment unit which obtains an input image captured from a first viewpoint, and depth information indicating a depth of a subject in the input image; a viewpoint transformation unit which generates, using the depth information, a plurality of first transformed images each of which is an image of the input image seen from a corresponding one of second viewpoints different from the first viewpoint; and a blank area analysis unit that analyzes a blank area which is included in each of the first transformed images and includes a pixel which does not have a corresponding pixel in the input image, and generate blank information which indicates, for each of the second viewpoints, a size of the blank area in the first transformed image corresponding to the second viewpoint.

Image processing device and image processing method

An image processing device for correcting atmospheric turbulence in a first input image included in a video includes: a determination unit which determines an atmospheric turbulence intensity which indicates an intensity of the atmospheric turbulence; and a correction unit which corrects the atmospheric turbulence in the first input image, according to the atmospheric turbulence intensity determined by the determination unit, wherein the atmospheric turbulence intensity determined by the determination unit has a value that increases with an increase in a ratio of a total number of pixels each having a difference in pixel value between the first input image and a frame temporally preceding the first input image to a total number of edge pixels included in the first input image or the frame temporally preceding, the difference being a predetermined threshold or more.

Image processing device, monitoring camera, and image processing method

An image processing apparatus includes: an image obtainment unit that obtains an image; an information obtainment unit that obtains embedment information that is to be embedded into a region within the image obtained by the image obtainment unit; a depth information obtainment unit that obtains depth information indicating a depth value of each pixel in the image obtained by the image obtainment unit; and an embedment region determination unit that determines, using the depth information, an embedment region into which the embedment information is to be embedded.

Image processing apparatus, imaging apparatus, and image processing method

An image processing device according to the present disclosure includes: a locating unit which locates a first in-focus region of each of plural images which are obtained by capturing a same subject and have different in-focus positions; and a display unit which displays a first image among the plural images, wherein when a certain position is designated on the first image displayed by the display unit, at least a second image having the first in-focus region which includes the certain position is selected from among the plural images, and the selected second image is displayed on the display unit.

Image processing device and image processing method for displaying an image region of a display image which includes a designated certain position

An image processing apparatus is an image processing apparatus which derives an angle of inclination of an image and includes: an edge angle calculation unit which calculates a plurality of edge angles corresponding to a plurality of pixels in the image by calculating, in each of the pixels, an edge angle that is an angle of an edge; a use angle identification unit which identifies one or more use angles that are each the edge angle and are each a candidate for the angle of inclination, using the edge angles and a plurality of depth values that correspond to the pixels and each indicate a depth of a corresponding one of the pixels; and an inclination angle derivation unit which derives the angle of inclination from the one or more use angles.

Image processing apparatus and image processing method

A motion estimation apparatus according to an aspect of the present invention is a motion estimation apparatus for estimating, using a set of multi-focus images which correspond to a single scene and have different focuses, motion for each of the first regions included in the scene, including: a cost value computing unit configured to compute, using the set of multi-focus images, for each of the first regions, a cost value indicating a difference between a blur amount of the first region and a standard blur amount determined for each of distances in a depth direction; and a motion estimation unit configured to estimate, using the cost value, the motion of the first region corresponding to the cost value.

Motion estimation apparatus, depth estimation apparatus, and motion estimation method

Both tilt information included in an image and positional information are acquired in order to calculate a relative tilt angle between at least two images. Whether the tilt information can be used to estimate the tilt angle (whether the tilt information is fake information) is determined from a distribution characteristic in the image of the acquired positional information. The tilt angle is estimated from the tilt information determined to be able to be used. A tilt included in the acquired image is corrected using the estimation result, and the image having the correct orientation can be produced.

Image processing apparatus and image processing method for image correction

An image processing apparatus measures a subject distance using a plurality of captured images acquired by capturing the same subject in a plurality of imaging states in succession of time. The image processing apparatus includes a target motion amount estimation unit that estimates a target motion amount representing an amount of shift in subject position between first and second images among the captured images. The first image is captured in a first imaging state and a second image is captured in a second imaging state different from the first imaging state. A corrected image generation unit generates a corrected image by performing motion compensation on the second image based on the target motion amount, and an image processing unit performs image processing such as measuring a subject distance or generating an HDR image, using the first image and the corrected image.

To enhance the accuracy of image alignment performed to reduce a vertical disparity between a first image and a second image that are images of the same object captured from different viewpoints, an image processing apparatus according to an aspect of the present invention includes: a division unit which divides each of the first image and the second image into a plurality of sub-regions; and an extraction unit which performs feature point extraction on each of the sub-regions, wherein the extraction unit performs the feature point extraction in such a manner that a value indicating a degree of variation among the sub-regions in total number of extracted feature points is less than or equal to a predetermined value.

Image processing apparatus, image processing method, and program thereof

A depth information generating device includes a region extracting unit that detects a human face in at least one two-dimensional image, and based on the detected face, extracts a human figure region indicating a human figure within a region of the at least one two-dimensional image; and a depth map generating unit that gives a depth value different from a depth value of a region other than the human figure region to the human figure region to generate a depth map that separates the human figure region from the region other than the human figure region.

Depth information generating device, depth information generating method, and stereo image converter

An image processing device of the present invention includes: a motion amount estimating unit which estimates, using feature points extracted from each of a first picture and a second picture, a motion amount indicating an amount of displacement of the second picture with respect to the first picture, the second picture being captured temporally after the first picture; a determining unit which determines, using the feature points, whether or not correction is made using the motion amount estimated by the motion amount estimating unit; and a picture correcting unit which corrects the displacement of the second picture with respect to the first picture using the motion amount so as to correct the displacement between the pictures, in the case where the determining unit determines that the correction is made using the motion amount.

Image processing device, image processing method, and program for image processing for correcting displacement between pictures obtained by temporally-continuous capturing

A three-dimensional video creating device () includes: a selection unit () which selects, from among frames constituting the 2D video, frames each of which has a common area whose proportion to the frame is greater than or equal to a predetermined value, as candidate three-dimensional partner frames that are candidate frames each constituting a three-dimensional image together with a target frame included in the frames constituting the 2D video; a determination unit () which determines, from among the candidate three-dimensional partner frames, a three-dimensional partner frame, based on the first criteria; and a three-dimensional pair creation unit () which creates a three-dimensional pair constituting the three-dimensional image corresponding to the target frame, using the target frame and the three-dimensional partner frame.

Three-dimensional video creating device and three-dimensional video creating method

An image processing device including: a motion amount estimating unit estimating a first motion amount indicating a displacement amount of a second picture with respect to a first picture; an area setting unit setting an area to be used for post-processing for each of the first picture and a first corrected picture, using feature points extracted from the first picture and the second picture; a post-processing unit generating a first cutout picture from the first picture and a second cutout picture from the first corrected picture and estimating a second motion amount indicating a displacement amount of the second cutout picture with respect to the first cutout picture; and a motion amount obtaining unit obtaining a motion amount indicating a displacement amount between the first picture and the second picture, from the estimated first motion amount and the estimated second motion amount.

Image processing device, image processing method, and program for image processing

A picture processing device () includes: a mask generation unit () which generates a masking picture (I) based on an edge in a first picture (); a feature point masking unit () which masks extracted feature points with the generated masking picture (I); a rotation matrix calculation unit () which calculates a positional change between the first picture and a second picture () using a feature point selected from the feature points as a result of the masking; and a picture correction unit () which uses the calculated change.

Picture processing device, picture processing method, integrated circuit, and program

Growing community of inventors

Kawasaki, Japan

Hitoshi Yamada