Samsung Electronics Co., Ltd.

Yonsei University

Konkuk University Industrial Cooperation Corp

Woon-Tahk Sung

Young-Kwon Yoon

Taek-Seong Jeong

Dong-Youl Park

Tae-Ho Kim

Ki-Huk Lee

Moon-Soo Kim

Tae-Hwa Hong

Hong-Il Kim

Joo-Young Son

Jae-Myung Baek

Soon-Kyoung Choi

Jun-Young Lee

Sang-Kyung Sung

Sung-wook Kang

Byung-Jun Son

Byung-kwon Kang

Jae-Hee Kim

Jae-Sik Sohn

Yang-Soo Lee

Subash Pandey

Dong-Ik Kim

Yeon-Jun Lee

Moon-Soo Chang

Yong-Hwan Choi

Kang-Ryoung Park

Byung-Kwon Kang

Various embodiments of the present invention relate to a device and method for controlling iris recognition parameters in an electronic device. Here, the electronic device may comprise a processor for: identifying an iris recognition environment using an image sensor module for acquiring an image, a light emitting module for emitting an infrared ray, and input information of the electronic device; modifying at least one iris recognition parameter on the basis of the iris recognition environment; emitting an infrared ray through the light emitting module on the basis of the modified iris recognition parameter; and performing iris recognition using an image acquired by the image sensor module. Various other embodiments are also possible.

Method for recognizing iris and electronic device therefor

Disclosed are a method and an electronic device for performing user authentication, the method including detecting a subject, determining a light-emitting parameter of a light source when the subject is to be photographed, and acquiring an image of the subject based on the determined light-emitting parameter.

Method for performing user authentication and electronic device thereof

A method and an electronic device are provided in association with iris recognition. The electronic device includes a camera module that obtains a Near-Infrared Ray (NIR) image, and a controller that converts the NIR image into an integral image, detects at least one candidate eye region from the integral image using at least one mask, detects a pupil region and an eyebrow region from the at least one candidate eye region, and to detect an eye region based on the pupil region.

Electronic device and eye region detection method in electronic device

An electronic device is disclosed. The electronic device includes an image capturing unit configured to obtain a plurality of images upon receiving one or more user inputs, a processor configured to process one or more of the plurality of images, and a display configured to display the one or more of the plurality of images, where the processor is further configured to select at least one image from the plurality of images, based on a facial expression of one or more objects recognized on the one or more of the plurality of images and a clarity of at least a portion of the one or more of the plurality of images.

Apparatus and method for continuously taking a picture

An electronic device for continuously taking pictures is disclosed. In one or more embodiments, an electronic device can include an image capturing unit configured to obtain multiple images upon receiving one or more user inputs; a processor configured to process one or more of the multiple images; and a display configured to display one or more of the multiple images. The processor is further configured to select at least one image from the multiple images, based at least partly on one or more of: image quality of one or more objects recognized in one or more of the multiple images, or clarity of at least a portion of one or more of the multiple images.

A method and an apparatus are provided for capturing a moving image and a still image. Moving-image capturing is ceased, when a still image-capturing request is generated. Still-image capturing operation parameters are set in the image sensor. The image sensor is exposed to generate still-image data. Moving-image capturing operation parameters are set in the image sensor, when generation of the still-image data is complete. The image sensor is exposed to generate the moving-image data. The still-image data is quality-processed and compressed to generate still-image frame data. Moving-image frame data generated by quality-processing and size-adjusting the moving-image data are connected and compressed to generate a moving-image stream. Quality-processed virtual moving-image frame data is generated using the still-image data. The quality-processed virtual moving-image frame data is inserted into a loss section of the moving-image stream corresponding to a period in which the moving-image capturing is ceased.

Digital image capturing method and apparatus

A method for correcting a user's tremor of an imaging device includes determining intensities of tremors of a plurality of temporary images, comparing the intensities of tremors with a reference value, and selecting a temporary image having an tremor intensity equal to or less than the reference value from the plurality of temporary images.

Method and device for correcting user's hand tremor in imaging device

Disclosed is a method for auto-focus control of a digital camera, the method including moving a focus lens of the digital camera to a position for a longest-distance photographing, and then extracting an edge value according to a corresponding position while moving the focus lens by a preset interval in a direction toward an image sensor; estimating a form of a preset function based on the extracted edge values, and calculating a maximum value of the estimated function; calculating a difference between a maximum value of the preset function calculated at a first current position of the focus lens and a maximum value of the preset function calculated at a previous position of the focus lens; and moving the focus lens to a position corresponding to a currently-calculated maximum value of the preset function when the difference between the maximum value of the preset function calculated at the first current position of the focus lens and the maximum value of the preset function calculated at the previous position of the focus lens is less than or equal to a preset threshold value.

Method and apparatus for auto-focus control of digital camera

An apparatus and method for controlling noise caused by vibration in a camera module for a mobile device are provided. The method includes transmitting a vibration signal sensed by a vibration sensor to a Choice Coil Motor (VCM) driver based on the vibration signal, applying, by the VCM driver, a reverse bias to a VCM upon receiving, by the VCM driver, the vibration signal from the vibration sensor, and exerting, by the VCM to which the reverse bias is applied, an electromagnetic force in a reverse direction in order to fix and halt an actuator.

Apparatus and method for controlling noise caused by vibration in camera module for mobile device

The present invention relates to a force rebalance control system and method using an automatic gain control loop, which are configured to perform the force rebalance feedback control of a vibratory gyroscope using the automatic gain control loop for controlling the velocity signal of a mass body. Accordingly, the present invention is advantageous in that a conventional digital circuit, which is complicated and sensitive to noise, can be implemented using a simple analog circuit, and the present invention can be extended and applied to general- purpose vibratory gyroscopes or various sensor fields, such as those of an inertial sensor, a pressure sensor, and a temperature sensor, as well as micro-gyroscopes. Further, a force rebalance control system using an automatic gain control loop according to the present invention is applied to various sensors, thus improving performance, such as the dynamic range, bandwidth, and linearity of the sensors.

Growing community of inventors

Seoul, South Korea

Woon-Tahk Sung