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公开(公告)号:US20220366183A1
公开(公告)日:2022-11-17
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
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:US20220142739A1
公开(公告)日:2022-05-12
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
Abstract: An oral-area positioning device is provided in the invention. The oral-area positioning device includes a storage device, a positioning circuit and a calculation circuit. The storage device 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:US20210059511A1
公开(公告)日:2021-03-04
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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公开(公告)号:US20230301751A1
公开(公告)日:2023-09-28
申请号:US17817409
申请日:2022-08-04
Applicant: Quanta Computer Inc.
Inventor: Kai-Ju CHENG , Yu-Hsun CHEN , Hao-Ping LEE , Tong-Ming HSU , Chin-Yuan TING , Shao-Ang CHEN , Kuan-Chung CHEN , Hsin-Lun HSIEH
Abstract: A distinguishing device for dental plaque and dental calculus includes a light-emitting diode, an image sensing unit, and a processor. The light-emitting diode movies in a first direction and is separated from teeth in an oral cavity by a predetermined distance in a second direction. The second direction is perpendicular to the first direction. The light-emitting diode generates a blue light to illuminate the teeth, so that dental plaque on the teeth generates a first autofluorescence and dental calculus on the teeth generates a second autofluorescence. The image sensing unit is configured to sense the first autofluorescence and the second autofluorescence. The processor is coupled to the image sensing unit to distinguish a dental plaque area from a dental calculus area on the teeth according to the first autofluorescence and the second autofluorescence.
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公开(公告)号:US20210074011A1
公开(公告)日:2021-03-11
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:US20240355106A1
公开(公告)日:2024-10-24
申请号:US18519676
申请日:2023-11-27
Applicant: Quanta Computer Inc.
Inventor: Chia-Yuan CHANG , Kai-Ju CHENG , Shao-Ang CHEN , Kuan-Chung CHEN
Abstract: A method for training a segmentation model is provided. The method includes using first training images to train a segmentation model. The method includes using second training images to train an image generator. The method includes inputting real images into the segmentation model to generate predicted annotation images. The method includes inputting the predicted annotation images into the image generator to generate fake images. The method includes updating the segmentation model and the image generator according to a loss caused by differences between the real images and the fake images.
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公开(公告)号:US20230298316A1
公开(公告)日:2023-09-21
申请号:US17847739
申请日:2022-06-23
Applicant: Quanta Computer Inc.
Inventor: Chia-Yuan CHANG , Kai-Ju CHENG , Yu-Hsun CHEN , Hao-Ping LEE , Tong-Ming HSU , Chin-Yuan TING , Shao-Ang CHEN , Kuan-Chung CHEN
IPC: G06V10/764 , G06V10/40 , G06V10/74 , G06V10/762
CPC classification number: G06V10/764 , G06V10/40 , G06V10/761 , G06V10/762
Abstract: An image classifying device is provided in the invention. The image classifying device includes a storage device, a calculation circuit and a classifying circuit. The storage device stores information corresponding to a plurality of image classes. The calculation circuit obtains a target image from an image extracting device and obtains the feature vector of the target image. The calculation circuit obtains a first estimation result corresponding to the target image based on the information corresponding to the plurality of image classes and the feature vector and obtains a second estimation result corresponding to the target image based on a reference image, wherein the reference image corresponds to one of the image classes. The classifying circuit adds the target image into one of the image classes based on the first estimation result and the second estimation result.
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