公开(公告)号：US10402996B2

公开(公告)日：2019-09-03

申请号：US15705347

申请日：2017-09-15

Applicant: ASUSTeK COMPUTER INC.

Inventor： Hao-Yuan Kuo ,  Chia-Hui Han ,  Wei-Po Lin

IPC: G06T7/60 ,  G01B11/00 ,  G01B11/14 ,  A61B3/00 ,  A61B3/11 ,  A61B5/00 ,  A61B5/107 ,  G01B11/245 ,  G06T7/593 ,  G06T7/62 ,  H04N5/33

Abstract: A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.

公开(公告)号：US20180089851A1

公开(公告)日：2018-03-29

申请号：US15705347

申请日：2017-09-15

Applicant: ASUSTeK COMPUTER INC.

Inventor： Hao-Yuan Kuo ,  Chia-Hui Han ,  Wei-Po Lin

IPC: G06T7/60 ,  G01B11/14 ,  G01B11/00

CPC classification number: G06T7/60 ,  A61B3/00 ,  A61B3/111 ,  A61B5/00 ,  A61B5/0077 ,  A61B5/1072 ,  G01B11/002 ,  G01B11/14 ,  G01B11/245 ,  G06T7/593 ,  G06T7/62 ,  G06T2207/10028 ,  G06T2207/10048 ,  G06T2207/30196 ,  G06T2207/30201 ,  H04N5/33

Abstract: A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.

公开(公告)号：US20210181538A1

公开(公告)日：2021-06-17

申请号：US17105738

申请日：2020-11-27

Applicant: ASUSTeK COMPUTER INC.

Inventor： Chia-Hui Han

IPC: G02C13/00 ,  G06K9/00 ,  G06T17/00

Abstract: A measure method and a measure device are provided. The measure method includes: scanning a face of a testee wearing a positioning frame to obtain pupil positions, visual directions, and a 3D face model, the 3D face model wears a positioning frame model corresponding to the positioning frame; superposing a 3D glasses reference model on the positioning frame model of the 3D face model; calculating an inner intersection point of the visual directions and the 3D glasses reference model; and calculating out a back vertex distance according to the pupil positions and the inner intersection point and calculate an angle between a lens plane line of the 3D glasses reference model and a space vertical line to regard as a pantoscopic tilt.

公开(公告)号：US11841555B2

公开(公告)日：2023-12-12

申请号：US17105738

申请日：2020-11-27

Applicant: ASUSTeK COMPUTER INC.

Inventor： Chia-Hui Han

IPC: G02C13/00 ,  G06T17/00 ,  G06V40/19 ,  G06V40/16

CPC classification number: G02C13/005 ,  G06T17/00 ,  G06V40/166 ,  G06V40/171 ,  G06V40/19

Abstract: A measure method and a measure device are provided. The measure method includes: scanning a face of a testee wearing a positioning frame to obtain pupil positions, visual directions, and a 3D face model, the 3D face model wears a positioning frame model corresponding to the positioning frame; superposing a 3D glasses reference model on the positioning frame model of the 3D face model; calculating an inner intersection point of the visual directions and the 3D glasses reference model; and calculating out a back vertex distance according to the pupil positions and the inner intersection point and calculate an angle between a lens plane line of the 3D glasses reference model and a space vertical line to regard as a pantoscopic tilt.

公开(公告)号：US11295538B2

公开(公告)日：2022-04-05

申请号：US17171129

申请日：2021-02-09

Applicant: ASUSTeK COMPUTER INC.

Inventor： Chia-Hui Han

IPC: G06T19/20 ,  G06T17/00 ,  G06T7/33 ,  H04N13/221

Abstract: A three-dimensional face model constructing method includes: obtaining front face information to establish a three-dimensional front face model and generate a front planar image corresponding to the three-dimensional front face model, wherein the front planar image includes first feature points; obtaining full face information to establish a three-dimensional full face model and generate a full face planar image corresponding to the three-dimensional full face model, wherein the three-dimensional full face model includes a specific portion and the full face planar image includes second feature points; superimposing a first block of the front plan image to a second block of the full face planar image according to the correspondence between the first feature points and the second feature points, to obtain a complete full face planar image; and generating a three-dimensional face model according to the complete full face planar image.

公开(公告)号：US20210264683A1

公开(公告)日：2021-08-26

申请号：US17171129

申请日：2021-02-09

Applicant: ASUSTeK COMPUTER INC.

Inventor： Chia-Hui Han

IPC: G06T19/20 ,  G06T17/00 ,  G06T7/33 ,  H04N13/221

Abstract: A three-dimensional face model constructing method includes: obtaining front face information to establish a three-dimensional front face model and generate a front planar image corresponding to the three-dimensional front face model, wherein the front planar image includes first feature points; obtaining full face information to establish a three-dimensional full face model and generate a full face planar image corresponding to the three-dimensional full face model, wherein the three-dimensional full face model includes a specific portion and the full face planar image includes second feature points; superimposing a first block of the front plan image to a second block of the full face planar image according to the correspondence between the first feature points and the second feature points, to obtain a complete full face planar image; and generating a three-dimensional face model according to the complete full face planar image.