Hyundai Motor Company

Seon A Kim

Jae Ho Lee

An apparatus and a method for controlling an airbag are provided. The apparatus includes an imaging device that includes cameras and lights and an image processor that performs an image processing for an image obtained by the imaging device. A collision sensor senses a collision of a vehicle and an airbag driver operates the airbag. A controller extracts face information of a passenger from the image of which the image processing is performed by the image processor, determines airbag control information based on the extracted face information, and then operates the airbag driver based on the determined airbag control information when the collision of the vehicle is predicted.

Apparatus and method for controlling airbag

A system for extracting a pupil includes an image obtainer configured to obtain front image data of a user; an illuminator configured to provide a lighting at the time of obtaining the image data; and a pupil extractor configured to receive the image data photographed in a light strength state having a predetermined reference value or more by the illuminator and apply a thresholding process to an eye region of interest (ROI) within the image data.

System for capturing pupil and method thereof

A method for tracking a gaze includes determining a position of a first center point of a cornea by using at least two lighting reflection points detected from an eyeball area of a first face image of a user and calculating a first vector connecting at least two first image feature points detected from the first face image to the position of the first center point of the cornea. A position of a second center point of the cornea is determined using the first vector and a position of the feature point detected from the second face image. A second vector is determined using the position of the second center point of the cornea and a position of a center point of a pupil. The gaze of the user is tracked by using the second vector. An apparatus for tracking a gaze is also disclosed.

Method and apparatus for tracking gaze

The present disclosure provides a gaze tracker and a gaze tracking method. The gaze tracker includes: an image acquirer to acquire eye images of a user using two or more cameras and two or more lightings; and a gaze calculator which detects a lighting reflection point from each eye image to extract a cornea central point, detects a pupil central point from each eye image, and calculates a gaze vector. In particular, when lighting reflection points are detected from each eye image, the gaze calculator calculates vectors for connection between each lighting and a corresponding lighting reflection point and detects an intersection point between the calculated vectors. When only one lighting reflection point is detected, the gaze calculator extracts the cornea central point using distance information between a pre-stored lighting reflection point and the cornea central point and the one lighting reflection point.

Gaze tracker and method for tracking gaze thereof

An apparatus for recognizing an iris includes: a camera configured to acquire eyeball image data; and a control module configured to estimate the iris based on pupil information extracted from the eyeball image data, acquire at least one candidate boundary line for confirming the iris based on the estimated iris, and select a final boundary line from the at least one candidate boundary line. The iris is recognizable according to the final boundary line.

Apparatus and method for recognizing iris

An apparatus for tracking a gaze of a glasses wearer simultaneously captures at least two face images by a camera, extracts glasses feature points when glasses are present within the face images by confirming whether the glasses are present within the captured face images, and calculates a gaze vector based on the extracted glasses feature points.

Apparatus and method for tracking gaze of glasses wearer

The present disclosure relates to a device for detecting a pupil taking account of illuminance and a method thereof, and provides a device for detecting a pupil taking account of illuminance capable of improving detection accuracy of the pupil by detecting a driver's pupil from an image using an adaptive threshold based binarization technique based on a lookup table in which sizes of the pupil corresponding to illuminance are written, and a method thereof.

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Seoul, South Korea

Seon A Kim