Olympus Corporation

Atsushi Kohashi

Osamu Nonaka

Kazuhiko Osa

Takayuki Ide

Hiroyuki Minakata

Hisashi Yoneyama

Hideki Nagata

Yoichi Yoshida

Minoru Omaki

Zhen Li

Dai Ito

Keiichi Mori

Kazuhiko Shimura

Yoshiyuki Fukuya

Kazuhiro Haneda

Yasuko Sonoda

Nobuyuki Shima

Aya Nakashima

An imaging device, comprising an image sensor that images a shooting target and outputs image data, a memory that stores inference models for performing guidance display or automatic control, when shooting the shooting target, an inference engine that performs inference for the control of the guidance display or automatic control, using the inference model, and a controller that determines whether or not the inference model is suitable for shooting a shooting target that the user wants, and if it is determined that the inference model is not suitable for shooting, requests generation of an inference model that is suitable for a shooting target the user wants to an external learning device.

Imaging device, information terminal, control method for imaging device, and control method for information terminal

A learning device, comprising a reception circuit that receives requests indicating photographs the user likes from external device, a machine learning processor that extracts images that match the requests and that have received a given evaluation from a third party, from within an image database, performs machine learning using these images that have been extracted, and outputs an inference model, and a transmission circuit that transmits an inference model that has been output from the learning processor to the external device.

Learning device, imaging device, and learning method

A feature amount generation device includes a feature point detecting unit which detects a feature point from an input image, a pixel information generating unit which generates pixel information from pixel values of the surroundings of the feature point in the input image, a feature point pixel information distribution generating unit which generates a first distribution of pixel information of a first region including the feature point, a sub-feature point detecting unit which detects sub-feature points that are feature points in the surroundings of the feature point, a sub-feature point pixel information distribution generating unit which generates second distributions of pixel information of second regions including the sub-feature points, and a feature amount generating unit which generates a feature amount at the feature point based on the first distribution and the second distributions.

Feature amount generation device, feature amount generation method, and non-transitory medium saving program

A mobile device system includes a plurality of mobile devices, each to which unique identification information is assigned, wherein each mobile device includes a location-information acquisition unit, a communication unit, and a group registration unit. The communication unit links location information acquired by the location-information acquisition unit of the mobile device and the identification information of the mobile device, sends the information to other mobile devices, and receives from the other mobile devices location information of the other mobile devices and identification information linked to the location information of the other mobile devices. The group registration unit detects other mobile devices located within a predetermined range of the mobile device on the basis of the location information of the other mobile devices and the location information of the mobile device and registers the identification information of the detected other mobile devices as a group.

Mobile device system and mobile device

A plurality of mobile devices interoperate without configuration operation. A mobile device system including a plurality of mobile devices is provided. Each mobile device is operable in one of an independent-operation mode in which the mobile device operates with priority over the other mobile devices and a dependent mode in which the mobile device operates dependently on another mobile device and includes a control unit having a start-up-order detection unit configured to detect the start-up order of the mobile device with respect to the other mobile devices. A first mobile device operates in the independent-operation mode when the start-up order of the first mobile device detected by the start-up-order detection unit is earlier than the start-up order of a second mobile device and operates in the dependent-operation mode when the start-up order is later than the start-up order of the second mobile device.

In a noise reduction apparatus or method, at least one of a luminance noise estimate value estimating a luminance noise of a target pixel and a chrominance noise estimate value estimating a chrominance noise of the target pixel is estimated in accordance with an average of luminance signals allocated to a first set of pixels including the target pixel. A noise reduction is performed to a selected one of the luminance noise and the chrominance noise one target pixel by one target pixel based on a corresponding one of a first set of information including the average of luminance signals and the luminance noise estimate value and a second set of information including an average of chrominance signals and the chrominance noise estimate value, the average of chrominance signals being allocated to a second set of pixels including the target pixel.

Image processing apparatus that reduces noise, image processing method that reduces noise, electronic camera that reduces noise, and scanner that reduces noise

Briefly, a camera according to the present invention includes a first signal processing system having a first gamma conversion processing unit for subjecting an output from an image pick-up device to gamma conversion processing and a luminance signal generating unit for generating a luminance-system signal based on an output from the first gamma conversion processing unit, and a second signal processing system having a color signal generating unit for generating a color-system signal based on an output which is the output from the image pick-up device and which is not subjected to the gamma conversion processing.

Growing community of inventors

Akiruno, Japan

Atsushi Kohashi