Abstract: A method implemented by an extended reality (XR) display device capturing, by an optical sensor, an image portraying a number of objects within an environment and analyzing the image to identify a tracking pattern corresponding to a first object. The first object is an external electronic device associated with the XR display device. The method further includes generating a first map of the environment based on the image, in which a relative location of the external electronic device within the environment with respect to the XR display device is determined for the first map based on the tracking pattern. The method further includes accessing a final map of the environment based on the first map of the environment and a second map of the environment generated with respect to the relative location.

Abstract: A method implemented by an extended reality (XR) display device capturing, by an optical sensor, an image portraying a number of objects within an environment and analyzing the image to identify a tracking pattern corresponding to a first object. The first object is an external electronic device associated with the XR display device. The method further includes generating a first map of the environment based on the image, in which a relative location of the external electronic device within the environment with respect to the XR display device is determined for the first map based on the tracking pattern. The method further includes accessing a final map of the environment based on the first map of the environment and a second map of the environment generated with respect to the relative location.

Abstract: A sight line vector detecting method includes: emitting LED light beams from LED light sources arranged on both sides of a camera to an eye; photographing the eye by the camera; acquiring a plane which includes one light source position of the LED light sources, a lens center position of the camera, and a spatial position on a photographed image as to one luminescent spot on a cornea spherical surface, and another plane which includes the other light source position, the lens center position of the camera, and a spatial position on the photographed image as to the other luminescent spot on the cornea spherical surface; acquiring a line of intersection between the two planes; acquiring a center of a cornea ball which is on the intersection line and satisfies a predetermined condition; and acquiring a center of a pupil.

Abstract: In a sight line vector detecting system comprising: an infrared light source for illuminating either an eye or a face; a camera for photographing either the eye or the face; and a computer for processing photographed image data of said camera so as to calculate a sight line vector, the computer includes an image processing unit for detecting the true luminance point and the center of the pupil from the photographed image data; and a calculating unit for calculating the sight line vector; and the image processing unit performs such a processing operation that the image processing unit determines a luminance point capable of satisfying a predetermined requirement as the true luminance point among luminance points having the pupils at near places, calculates a center of the pupils, and further, calculates a center of a cornea ball.

Abstract: In a sight line vector detecting system comprising: an infrared light source for illuminating either an eye or a face; a camera for photographing either the eye or the face; and a computer for processing photographed image data of said camera so as to calculate a sight line vector, the computer includes an image processing unit for detecting the true luminance point and the center of the pupil from the photographed image data; and a calculating unit for calculating the sight line vector; and the image processing unit performs such a processing operation that the image processing unit determines a luminance point capable of satisfying a predetermined requirement as the true luminance point among luminance points having the pupils at near places, calculates a center of the pupils, and further, calculates a center of a cornea ball.

Abstract: A sight line vector detecting method includes: emitting LED light beams from LED light sources arranged on both sides of a camera to an eye; photographing the eye by the camera; acquiring a plane which includes one light source position of the LED light sources, a lens center position of the camera, and a spatial position on a photographed image as to one luminescent spot on a cornea spherical surface, and another plane which includes the other light source position, the lens center position of the camera, and a spatial position on the photographed image as to the other luminescent spot on the cornea spherical surface; acquiring a line of intersection between the two planes; acquiring a center of a cornea ball which is on the intersection line and satisfies a predetermined condition; and acquiring a center of a pupil.

Abstract: A line-of-sight detection method in an imaging system which includes a camera for photographing a face and right and left eyes and a light source for irradiating the right and left eyes with infrared rays, said line-of-sight detection method comprising: obtaining a center point of a pupil of at least one of the right and left eyes; obtaining a center point of a cornea spherical surface of said at least one of the right and left eyes; and obtaining a direction of a vector headed from said center point of said cornea spherical surface to said center point of said pupil, wherein a data based on a morphological information is used in obtaining said center point of said pupil.

Abstract: A line-of-sight detection method in an imaging system which includes a camera for photographing a face and right and left eyes and a light source for irradiating the right and left eyes with infrared rays, said line-of-sight detection method comprising: obtaining a center point of a pupil of at least one of the right and left eyes; obtaining a center point of a cornea spherical surface of said at least one of the right and left eyes; and obtaining a direction of a vector headed from said center point of said cornea spherical surface to said center point of said pupil, wherein a data based on a morphological information is used in obtaining said center point of said pupil.