公开(公告)号：US20220163395A1

公开(公告)日：2022-05-26

申请号：US17217849

申请日：2021-03-30

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chia-Chang LI ,  Shih-Chun CHANG ,  Jay HUANG ,  Wen-Hung TING

IPC: G01J5/00 ,  G01J5/08

Abstract: A thermal imaging apparatus for measuring a temperature of a target in a monitored area comprises a thermal imager, an optical image capturing device and a computing processing device. The thermal imager is configured to capture a thermal image of the monitored area. The optical image capturing device is configured to capture optical images of the monitored area. The computing processing device is configured to determine one of the optical images as a determined optical image synchronizing with the thermal image according to positions of blocks corresponding to the target in the thermal image and the optical images, perform calculation according to the thermal image and the determined optical image to obtain a measured distance between the target and the thermal imaging apparatus, and perform calibration according to the measured distance and the thermal image to obtain a calibrated temperature value of the target.

公开(公告)号：US20230055649A1

公开(公告)日：2023-02-23

申请号：US17866354

申请日：2022-07-15

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Jay HUANG ,  Hian-Kun TENN ,  Wen-Hung TING ,  Chia-Chang LI

IPC: G06T7/33 ,  G06T7/60 ,  G06T7/80

Abstract: A multi-modal image alignment method includes obtaining first points corresponding to a center vertex of a calibration object and second point groups corresponding to side vertices of the calibration object from two-dimensional images, obtaining third points corresponding to the center vertex from three-dimensional images, performing first optimizing computation using a first coordinate system associated with the two-dimensional images, the first points and the third points to obtain a first transformation matrix, processing on the three-dimensional images using the first transformation matrix to generate firstly-transformed images respectively, performing second optimizing computation using the firstly-transformed images, the first points and the second point groups to obtain a second transformation matrix, and transforming an image to be processed from a second coordinate system associated with the three-dimensional images to the first coordinate system using the first transformation matrix and the second transformation matrix.

公开(公告)号：US20190324550A1

公开(公告)日：2019-10-24

申请号：US15959665

申请日：2018-04-23

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Duan-Li LIAO ,  Chia-Chang LI ,  Wen-Hung TING ,  Hian-Kun TENN

IPC: G06F3/01 ,  G06K9/00 ,  G06F17/30

Abstract: A controlling system and a controlling method for virtual display are provided. The controlling system for virtual display includes a visual line tracking unit, a space forming unit, a hand information capturing unit, a transforming unit and a controlling unit. The visual line tracking unit is used for tracking a visual line of a user. The space forming unit is used for forming a virtual display space according to the visual line. The hand information capturing unit is used for obtaining a hand location of the user's one hand in a real operation space. The transforming unit is used for transforming the hand location to be a cursor location in the virtual display space. The controlling unit is used for controlling the virtual display according to the cursor location.

公开(公告)号：US20140064602A1

公开(公告)日：2014-03-06

申请号：US13726454

申请日：2012-12-24

Applicant: INDUSTRIAL TECHNOLOGY RESEARCH INSTITUTE

Inventor： Chia-Chang LI ,  Duan-Li LIAO

IPC: G06K9/46

CPC classification number: G06K9/4604 ,  G06K9/00375 ,  G06T7/73 ,  G06T2207/10028 ,  G06T2207/30196

Abstract: According to an exemplary embodiment, a method for object positioning by using depth images is executed by a hardware processor as following: converting depth information of each of a plurality of pixels in each of one or more depth images into a real world coordinate; based on the real world coordinate, computing a distance of each pixel to an edge in each of a plurality of directions; assigning a weight to the distance of each pixel to each edge; and based on the weight of the distance of each pixel to each edge and a weight limit, selecting one or more extremity positions of an object.

Abstract translation: 根据示例性实施例，通过使用深度图像的对象定位的方法由硬件处理器执行如下：将一个或多个深度图像中的每一个中的多个像素中的每一个的深度信息转换为真实世界坐标; 基于所述真实世界坐标，计算每个像素与多个方向中的每个方向上的边缘的距离; 将每个像素的距离分配给每个边缘; 并且基于每个像素到每个边缘的距离的权重和重量限制，选择对象的一个​​或多个末端位置。