公开(公告)号：US10474231B2

公开(公告)日：2019-11-12

申请号：US15846209

申请日：2017-12-19

Applicant: Industrial Technology Research Institute

Inventor： Hsiao-Wei Liu ,  Yu-Ying Lan ,  Hsin-Cheng Lin ,  Chung-Lun Kuo ,  Chia-Liang Yeh

IPC: G06F3/01 ,  G06K9/00 ,  G06T7/73 ,  G06F21/32 ,  G02B27/00

Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.

公开(公告)号：US20190056781A1

公开(公告)日：2019-02-21

申请号：US15846209

申请日：2017-12-19

Applicant: Industrial Technology Research Institute

Inventor： Hsiao-Wei Liu ,  Yu-Ying Lan ,  Hsin-Cheng Lin ,  Chung-Lun Kuo ,  Chia-Liang Yeh

IPC: G06F3/01 ,  G06K9/00

Abstract: An eye tracking apparatus and an eye tracking method for the eye tracking apparatus are provided. The eye tracking apparatus includes an image capture device and a computing device. The image capture device is adapted to capture at least one face image. The computing device is coupled to the image capture device. The computing device receives the face image to obtain an eye image and identifies at least one iris region of the eye image. The computing device chooses the largest iris region from the iris regions to obtain a fitting pattern of the largest iris region and obtains a gaze point of the eye image based on the fitting pattern.

公开(公告)号：US11880747B2

公开(公告)日：2024-01-23

申请号：US16728285

申请日：2019-12-27

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hsin-Cheng Lin ,  Sen-Yih Chou

IPC: G06N20/00 ,  G06V20/20 ,  G06F18/214 ,  G06F18/2415 ,  G06V10/77

CPC classification number: G06N20/00 ,  G06F18/2148 ,  G06F18/2415 ,  G06V10/7715 ,  G06V20/20

Abstract: An image recognition method, a training system for an object recognition model and a training method for an object recognition model are provided. The image recognition method includes the following steps. At least one original sample image of an object in a field and an object range information and an object type information in the original sample image are obtained. At least one physical parameter is adjusted to generate plural simulated sample images of the object. The object range information and the object type information of the object in each of the simulated sample images are automatically marked. A machine learning procedure is performed to train an object recognition model. An image recognition procedure is performed on an input image.

公开(公告)号：US11823438B2

公开(公告)日：2023-11-21

申请号：US17184319

申请日：2021-02-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Ting-Hsun Cheng ,  Yu-Ju Chao ,  Hsin-Cheng Lin ,  Chih-Chia Chang ,  Yu-Hsin Lin ,  Sen-Yih Chou

IPC: G06V10/774 ,  G06T5/00 ,  G06T7/11 ,  G06V20/00

CPC classification number: G06V10/774 ,  G06T5/002 ,  G06T7/11 ,  G06V20/00 ,  G06T2207/20081

Abstract: A recognition system and an image augmentation and training method thereof are provided. The image augmentation and training method of a recognition system includes the following steps. A plurality of image frames are obtained, wherein each of the image frames includes an object pattern. A plurality of environmental patterns are obtained. The object pattern is separated from each of the image frames. A plurality of image parameters are set. The image frames, based on the object patterns and the environmental patterns, are augmented according to the image parameters to increase the number of the image frames. A recognition model is trained using the image frames.

公开(公告)号：US11069084B2

公开(公告)日：2021-07-20

申请号：US16231701

申请日：2018-12-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Hsin-Yi Chen ,  Chia-Liang Yeh ,  Hsin-Cheng Lin ,  Sen-Yih Chou

IPC: G06T7/73 ,  G06T7/90

Abstract: An object identification method includes: establishing a training data base including a photographing distance of a training image and a training camera parameter; in photographing a target test object, obtaining a test image, a depth image, an RGB image and a test camera parameter; and based on the training database, the depth image and the test camera parameter, adjusting the RGB image wherein the adjusted RGB image having a size equivalent to the training image of the training database.

公开(公告)号：US10769803B2

公开(公告)日：2020-09-08

申请号：US16231724

申请日：2018-12-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Yu-Ying Lan ,  Hsin-Cheng Lin ,  Sen-Yih Chou

IPC: G06T7/50 ,  G06F3/01 ,  G06T7/73

Abstract: A sight vector detecting method includes: capturing a user image by an image capture unit and a depth capture unit to obtain a first image and a distance information; based on the first image and the distance information, finding an eye center location of the user; predicting a user sight location by a gaze model to find a target sight location of the user on a target; based on the eye center location of the user, finding a first word coordinate of the eye center location of the user; based on the target sight location of the user, finding a second word coordinate of the target sight location of the user; and based on the first word coordinate of the eye center location of the user and the second word coordinate of the target sight location of the user, calculating a sight vector of the user.