Patents by Inventor Shaokang Chen

Shaokang Chen has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230387655
    Abstract: Provided is a light transmitter, including: a substrate; a semiconductor refrigeration assembly arranged on the substrate; a light emitting assembly mounted on the semiconductor refrigeration assembly, so that the semiconductor refrigeration assembly cools the light emitting assembly, and the light emitting assembly is configured to generate a laser beam; a tube shell mounted on the substrate to package the semiconductor refrigeration assembly and the light emitting assembly; an optical fiber configured to output the laser beam generated by the light emitting assembly to an outside of the tube shell; and a transparent filling glue filled in a space between an inner wall of the tube shell and the substrate, and configured to guide the laser beam generated by the light emitting assembly to the optical fiber and transfer a heat generated by the light emitting assembly to the tube shell.
    Type: Application
    Filed: March 30, 2023
    Publication date: November 30, 2023
    Inventors: Shaokang Chen, Chunyuan Mu, Keqi Cao, Jian Wang, Yu Liu, Wei Chen, Ming Li, Ninghua Zhu
  • Patent number: 9613258
    Abstract: This disclosure concerns image quality assessment. In particular, there is described a computer implemented method, software, and computer for assessing the quality of an image. For example but not limited to, quality of the image of a face indicates the suitability of the image for use in face recognition. The invention comprises determining (112) a similarity of features of two or more sub-images of the image (608) to a model (412) of the object which is based on multiple training images (612) of multiple different objects of that type. The model (412) is comprised of sub-models (406) and each sub-model (406) corresponds to a sub-image of the image (608). Determining similarity is based on the similarity of features of each sub-image to features modelled by the corresponding sub-model. It is an advantage that no input parameters are required for quality assessment since the quality of the image can be determined from only the similarity between the image and the same, therefore single generic, model.
    Type: Grant
    Filed: February 20, 2012
    Date of Patent: April 4, 2017
    Assignee: iOmniscient Pty Ltd
    Inventors: Shaokang Chen, Yong Kang Wong
  • Publication number: 20140044348
    Abstract: This disclosure concerns image quality assessment. In particular, there is described a computer implemented method, software, and computer for assessing the quality of an image. For example but not limited to, quality of the image of a face indicates the suitability of the image for use in face recognition. The invention comprises determining (112) a similarity of features of two or more sub-images of the image (608) to a model (412) of the object which is based on multiple training images (612) of multiple different objects of that type. The model (412) is comprised of sub-models (406) and each sub-model (406) corresponds to a sub-image of the image (608). Determining similarity is based on the similarity of features of each sub-image to features modelled by the corresponding sub-model. It is an advantage that no input parameters are required for quality assessment since the quality of the image can be determined from only the similarity between the image and the same, therefore single generic, model.
    Type: Application
    Filed: February 20, 2012
    Publication date: February 13, 2014
    Applicant: NATIONAL ICT AUSTRALIA LIMITED
    Inventors: Shaokang Chen, Yong Kang Wong