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公开(公告)号:US12029622B2
公开(公告)日:2024-07-09
申请号:US17149934
申请日:2021-01-15
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Yu-Hsun Chen , Chin-Yuan Ting , Shao-Ang Chen
CPC classification number: A61C7/002 , G06N20/00 , G06T7/73 , G06V10/457 , G06T2207/20084 , G06T2207/30036
Abstract: An oral-area positioning device is provided in the invention. The oral-area positioning device includes a storage circuit, a positioning circuit and a calculation circuit. The storage circuit stores information corresponding to a plurality of oral areas. The positioning circuit obtains a target image from an oral-image extracting device, and obtains a first position estimation result according to the information corresponding to the plurality of oral areas and a first algorithm. The positioning device obtains a second position estimation result at least according to the information corresponding to the plurality of oral areas, a second algorithm and a reference image position of a reference image, wherein the reference image position is one of the oral areas. The calculation circuit generates a third position estimation result according to the first position estimation result and the second position estimation result.
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公开(公告)号:US11037317B2
公开(公告)日:2021-06-15
申请号:US16707234
申请日:2019-12-09
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Kuan-Chung Chen , Yu-Cheng Chien , Chung-Sheng Wu , Hao-Ping Lee , Chin-Yuan Ting , Yu-Hsun Chen , Shao-Ang Chen , Jia-Chyi Wang , Chih-Wei Sung
Abstract: A tooth-position recognition system includes an electronic device and a calculation device. The electronic device includes a first camera. The first camera is configured to capture a plurality of tooth images. The calculation device includes a second camera and a processor. The second camera is configured to capture a user image. The processor is configured to receive the tooth images, compare the corresponding position of each pixel in each tooth image to generate a depth map, and input the tooth images, the depth map, and a plurality of first tooth-region identifiers into a tooth deep-learning model. The tooth deep-learning model outputs a plurality of deep-learning probability values that are the same in number as the first tooth-region identifiers. The processor inputs the user image and the plurality of second tooth-region identifiers into a user-image deep-learning model.
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公开(公告)号:US11907340B2
公开(公告)日:2024-02-20
申请号:US17389623
申请日:2021-07-30
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Yu-Hsun Chen , Yu-Cheng Chien , Chin-Yuan Ting , Shao-Ang Chen
IPC: G06F18/2431 , G06V10/40 , G06N3/08 , G06F18/213 , G06F18/23213
CPC classification number: G06F18/2431 , G06F18/213 , G06F18/23213 , G06N3/08 , G06V10/40
Abstract: An image positioning device is provided in the invention. The image positioning device includes a calculation circuit and a positioning circuit. The calculation circuit obtains a plurality of images from an image capturing device and classifies the images into a plurality of main groups based on a first algorithm, wherein each main group corresponds to a different area and the calculation circuit classifies the images of each main group into a plurality of sub-groups based on a feature of each image of each main group and a clustering algorithm. The positioning circuit is coupled to the calculation circuit. The positioning circuit positions each sub-group in the area corresponding to each main group based on the relative position relationship between each sub-group of each main group.
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公开(公告)号:US11471034B2
公开(公告)日:2022-10-18
申请号:US16774279
申请日:2020-01-28
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju Cheng , Hsin-Lun Hsieh , Chin-Yuan Ting , Tsung-Hsin Lu , Huan-Tang Wu , Shao-Ang Chen , Yu-Hsun Chen , Jia-Chyi Wang , Chih-Wei Sung , Huan-Pin Shen
Abstract: A method for distinguishing plaque and calculus is provided. The method is used in a device and includes the following steps: emitting, by a blue light-emitting diode, blue light to illuminate teeth in an oral cavity, wherein the blue light is used to generate autofluorescence of plaque and calculus on the teeth; sensing, by an image sensor, the autofluorescence of plaque and calculus; and distinguishing, by a processor, a plaque area and a calculus area on the teeth based on the autofluorescence.
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