Lg Innotek Co., Ltd.

Industry-University Cooperation Foundation Hanyang University

Jung Ah Park

Ho Jin Jhee

Seung Won Lee

Min Kyu Kim

Dong Gyun Kim

Dae Hun Kim

Sung Hyun Lim

Jeong Woo Woo

Whoi Yul Kim

Seon Hee Park

Moon Soo Ra

Jae Ho Kwak

Seong Yun Cho

Jong Min Hyun

Se Mi Jeon

Moon-Soo Ra

An image sensor according to one embodiment may comprise: an image sensing unit which receives light and generates a first Bayer pattern having a first resolution; and a processor which receives a second Bayer pattern that is at least a portion of the first Bayer pattern from the image sensing unit, and then generates a third Bayer pattern having a higher resolution than the second alignment unit on the basis of the received second Bayer pattern.

Image sensor, camera module, and optical device comprising camera module

An image processing method for an image processing device according to an embodiment of the present invention comprises the steps of: obtaining a first RGB image by means of an RGB camera; extracting a reflection component from the first RGB image; obtaining a TOF IR image by means of a TOF camera; and obtaining a second RGB image by calculating the reflection component of the first RGB image and the TOF IR image, wherein the TOF IR image is an amplitude or intensity image generated from an IR image with respect to four phases.

Image processing device and image processing method

A camera device according to an embodiment may include: an image sensor which generates first Bayer data having a first resolution; and a processor which performs deep learning on the basis of the first Bayer data to output second Bayer data having a second resolution higher than the first resolution.

Camera device and image generation method of camera device

A camera according to an embodiment of the present invention comprises: a light-emitting module for configured to output output light according to a set control mode; a light-receiving module configured to receive input light corresponding to the output light according to the control mode; and a control module configured to detect at least one of presence of a subject and a distance from the subject on the basis of the input light, reset the control mode according to a detection result, control an output of the light-emitting module and an input of the light-receiving module according to the reset control mode, and generate a depth map for the subject on the basis of the input light which is input according to the reset control mode.

Camera

An image processing apparatus and method of extracting a second RGB feature point and a second ToF feature point such that a correlation between the first RGB feature point and the first ToF feature point is equal to or greater than a predetermined value; calculating an error value between the second RGB feature point and the second ToF feature point; updating pre-stored calibration data when the error value is greater than a threshold value, and calibrating the RGB image and the ToF image by using the updated calibration data; and synthesizing the calibrated RGB and ToF images.

Imaging processing apparatus and method extracting a second RGB ToF feature points having a correlation between the first RGB and TOF feature points

An auto-focusing method of a camera apparatus according to an embodiment of the present invention comprises the steps of: extracting distance information of an object by using a ToF camera; and performing auto-focusing on an RGB camera by using auto-focusing information according to the distance information, wherein the ToF camera includes an illumination unit for outputting light to the object and a sensor unit for receiving information about light reflected from the object, the sensor unit receives a plurality of pieces of information about the light reflected from the object at a plurality of phases on the basis of the output of the light, and the ToF camera extracts the distance information by using the plurality of pieces of information.

Camera apparatus and autofocusing method therefor

Disclosed are a camera module and a method of measuring a distance by using the same. The camera module includes a light source to irradiate a light, a film having a pattern through which the light irradiated by the light source passes, an image sensor to acquire an image of a subject, and a distance estimating module to estimate a distance from the subject by using the image acquired by the image sensor. The acquired image includes a pattern image projected by the light passing through the pattern, and the distance estimating module estimates the distance by using the pattern image.

Camera module projecting patterns and measuring distance using the projected patterns

An image processing method and an image processing apparatus are provided. The image processing method includes dividing the image into a plurality of regions; setting a portion of the divided regions to a first region of interest; detecting a candidate region for a target from the first region of interest; determining if the detected candidate region corresponds to the target; detecting a target region by using the candidate region if the candidate region corresponds to the target; estimating a pose of the target by using the detected target region; and performing modeling with respect to the target.

Method of image processing and device therefore

An image processing method for detecting a target, includes: an image acquiring unit for acquiring depth information of an image; a histogram creating unit for creating a histogram on the depth information of the image; a critical value setting unit for setting a critical value of the depth information for detecting a region of a detection object from the image; an image processing unit for extracting a region of the detection object from the image by using the set critical value of the depth information; a data verifying unit for verifying whether the extracted region of the detection object corresponds to the target; and a storage unit for storing the extracted region of the detection object. A target is detected based on depth information of an image.

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Seoul, South Korea

Jung Ah Park