Panasonic Intellectual Property Management Co., Ltd.

Panasonic Corporation

Matsushita Electric Industrial Co., Ltd.

Panasonic Intellectual Property Corporation of America

Kunio Nobori

Takeo Azuma

Satoshi Sato

Nobuhiko Wakai

Masamichi Nakagawa

Ayako Maruyama

Mikiya Nakata

Shusaku Okamoto

Atsushi Morimura

Hirofumi Ishii

Masahiro Iwasaki

Taro Imagawa

Kazufumi Mizusawa

Ayako Komoto

Tsuguhiro Korenaga

Katsuhiro Kanamori

Hideto Motomura

Kazutoyo Takata

Takamasa Ando

Yoshiyasu Kado

Masaki Sato

Norihiro Imamura

Koichi Hotta

Hisashi Watanabe

Kenji Kondo

Toshiya Fujii

Kenya Uomori

Yoshihiko Matsukawa

Katsuji Aoki

Hidetsugu Maekawa

Kazuhiro Kayashima

Kenji Iwano

Makoto Fujimoto

Hiroshi Akahori

Akira Kamogawa

Jun Ozawa

Takao Yamaguchi

Tsuyoshi Inoue

Yasunori Ishii

Sanshiro Shishido

Yumiko Kato

Katsuya Nozawa

Koji Ikeda

Takeyoshi Tokuhara

Hiroyoshi Komobuchi

Yoshifumi Hirose

Masaaki Yanagida

Akira Ishida

Roberto Cipolla

Takashi Yoshida

Masahiko Saito

Atsushi Iisaka

Shinichi Machida

Masumi Izuchi

Osamu Yamada

Yasuo Fukui

Nobuhiko Yasui

Tomonobu Naruoka

Mitsuru Harada

Masahiro Hamada

Shuhei Sasakura

Fumio Maehara

Brahm Pal Singh

Yasuhito Kawamata

Fabio Galasso

Yasuhiro Morinaka

A control device includes a parameter acquisition unit that acquires an augmentation parameter regarding geometric augmentation or optical augmentation of training data to be used for training a machine learning model, a display controller that causes a display device to display an image based on the augmentation parameter, an imaging controller that causes an imaging device to capture the displayed image, and an output unit that outputs the captured image obtained by the imaging device as the training data.

Control system and control method

An image generating apparatus generates an image to be displayed on a display and includes at least one memory and a control circuit. The control circuit acquires a plurality of camera images captured by a plurality of cameras installed in a vehicle, calculates a distance between one of the cameras and a target to be projected in in the camera images, detects a position of a light-transmissive object or a reflective object in the camera images, and generates an image from a point of view that is different from points of view of the plurality of camera images by using the plurality of camera images and the distance, the generated image including a predetermined image that is displayed at the position of the light-transmissive object or the reflective object.

Image generating apparatus, image generating method, and recording medium

A crossing point detector includes memory and a crossing point detection unit that reads out a square image from a captured image in the memory, and detects a crossing point of two boundary lines in a checker pattern depicted in the square image. The crossing point detection unit decides multiple parameters of a function model treating two-dimensional image coordinates as variables, the parameters optimizing an evaluation value based on a difference between corresponding pixel values represented by the function model and the square image, respectively, and computes the position of a crossing point of two straight lines expressed by the decided multiple parameters to thereby detect the crossing point with subpixel precision. The function model uses a curved surface that is at least first-order differentiable to express pixel values at respective positions in a two-dimensional coordinate system at the boundary between black and white regions.

Crossing point detector, camera calibration system, crossing point detection method, camera calibration method, and recording medium

An imaging apparatus in an embodiment includes lens optical systems each including a lens whose surface closest to the target object is shaped to be convex toward the target object, imaging regions which respectively face the lens optical systems and output a photoelectrically converted signal corresponding to an amount of light transmitting the lens optical systems and received by the imaging regions, and a light-transmissive cover which covers an exposed portion of the lens of each of the lens optical systems and a portion between the lens of one of the lens optical systems and the lens of another one of the lens optical systems adjacent to the one of the lens optical systems, the cover having a curved portion which is convex toward the target object. The optical axes of the lens optical systems are parallel to each other.

Imaging apparatus and distance measuring apparatus using the same

There is provided an image capturing apparatus that captures a plurality of images, calculates a three-dimensional position from the plurality of images, and outputs the plurality of images and information about the three-dimensional position. The image capturing apparatus includes an image capturing unit, a camera parameter storage unit, a position calculation unit, a position selection unit, and an image complementing unit. The image capturing unit outputs the plurality of images using at least three cameras. The camera parameter storage unit stores in advance camera parameters including occlusion information. The position calculation unit calculates three dimensional positions of a plurality of points. The position selection unit selects a piece of position information relating to a subject area that does not have an occlusion, and outputs selected position information. The image complementing unit generates a complementary image, and outputs the complementary image and the selected position information.

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

An image generation device includes: a voltage generator that generates a plurality of voltages each having a different voltage value; an image capturer that includes an organic photoconductive film, and performs imaging every time each of the plurality of voltages is applied; a luminance data obtainer that obtains a plurality of luminance data items corresponding to the plurality of voltages applied, each of the plurality of luminance data items being obtained from the imaging performed by the image capturer; and a color image generator that generates a color image based on the plurality of luminance data items.

Image generation device and image generation method

An imaging apparatus includes an imaging device, a first imaging optical system and a second imaging optical system that form respective input images from mutually different viewpoints onto the imaging device, and a first modulation mask and a second modulation mask that modulate the input images formed by the first imaging optical system and the second imaging optical system. The imaging device captures a superposed image composed of the two input images that have been formed by the first imaging optical system and the second imaging optical system, modulated by the first modulation mask and the second modulation mask, and optically superposed on each other, and the first modulation mask and the second modulation mask have mutually different optical transmittance distribution characteristics.

Imaging apparatus, image processing apparatus, imaging system, imaging method, image processing method, and recording medium

A camera-parameter-set calculation apparatus includes a three-dimensional point group calculator that calculates a plurality of three-dimensional coordinates, based on first and second images respectively captured by first and second cameras and first and second camera parameter sets of the first and second cameras; an evaluation value calculator that determines a plurality of pixel coordinates in the second image, based on the plurality of three-dimensional coordinates and the second camera parameter set, determines a plurality of third pixel coordinates in a third image captured by a third camera, based on the plurality of three-dimensional coordinates and a third camera parameter set of the third camera, and calculates an evaluation value, based on pixel values at the plurality of second and third pixel coordinates in the second and third images; and a camera-parameter-set determiner that determines a fourth camera parameter set for the third camera, based on the evaluation value.

Camera-parameter-set calculation apparatus, camera-parameter-set calculation method, and recording medium

An image generation apparatus includes a processing circuit and a memory storing at least one computational image. The at least one computational image is a light-field image, a compressive sensing image, or a coded image. The processing circuit (a1) identifies a position of an object in the at least one computational image using a classification device, (a2) generates, using the at least one computational image, a display image in which an indication for highlighting the position of the object is superimposed, and (a3) outputs the display image.

Image generation apparatus and method for generating image

An image generating apparatus generates an image to be displayed on a display and includes at least one memory and a control circuit. The control circuit acquires a plurality of camera images captured by a plurality of cameras installed in a vehicle, calculates a distance between one of the cameras and a target to be projected in the camera images, detects a position of a light-transmissive object or a reflective object in the camera images, and generates an image from a point of view that is different from points of view of the plurality of camera images by using the plurality of camera images and the distance, the generated image including a predetermined image that is displayed at the position of the light-transmissive object or the reflective object.

A learning device includes a memory and a processing circuit. The processing circuit: (a) obtains, from the memory, a first computational imaging image which includes an object, the first computational imaging image including a plurality of first pixels; (b) obtains, from the memory, a captured image which includes the object, the captured image including a plurality of second pixels; (c) obtains an identification result of identifying the object included in the captured image; (d) generates, with reference to correspondences between the plurality of first pixels and the plurality of second pixels, an identification model for identifying the first computational imaging image based on the identification result of identifying the object included in the captured image; and (e) outputs the identification model to an image identification device which identifies a second computational imaging image.

Learning device, learning method, and storage medium

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Osaka, Japan

Kunio Nobori