Patents by Inventor Shaojie Zhuo

Shaojie Zhuo 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).

  • Patent number: 9692991
    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to improve alignment between the NIR and visible images. Once the NIR and visible images are aligned, various types of multispectral processing techniques can be performed on the aligned images.
    Type: Grant
    Filed: October 30, 2012
    Date of Patent: June 27, 2017
    Assignee: QUALCOMM Incorporated
    Inventors: Xiaopeng Zhang, Gang Qiu, Jilai Wang, Xiaoming Zhou, Liang Shen, Milivoje Aleksic, Sundeep Vaddadi, Shaojie Zhuo
  • Publication number: 20170091550
    Abstract: Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
    Type: Application
    Filed: July 15, 2014
    Publication date: March 30, 2017
    Inventors: Chen Feng, Xiaopeng Zhang, Shaojie Zhuo, Liang Shen, Tao Sheng, Alwyn Dos Remedios
  • Publication number: 20160019421
    Abstract: Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
    Type: Application
    Filed: July 15, 2014
    Publication date: January 21, 2016
    Inventors: Chen Feng, Xiaopeng Zhang, Shaojie Zhuo, Liang Shen, Tao Sheng, Alwyn Dos Remedios
  • Publication number: 20160019420
    Abstract: Certain aspects relate to systems and techniques for generating high resolution iris templates and for detecting spoofs, enabling more reliable and secure iris authentication. Pairs of RGB and NIR images can be captured by the iris authentication system for use in iris authentication, for example using an NIR LED flash and a four-channel image sensor. Multiple images of the user's iris can be captured by the system in a relatively short period of time and can be fused together to generate a high resolution iris image that can contain more detail of the iris structure and unique pattern than each individual images. The “liveness” of the iris, referring to whether the iris is a real human iris or an iris imitation, can be assessed via a liveness ratio based on comparison of known iris and sclera reflectance properties at various wavelengths to determined sensor responses at those same wavelengths.
    Type: Application
    Filed: July 15, 2014
    Publication date: January 21, 2016
    Inventors: Chen Feng, Xiaopeng Zhang, Shaojie Zhuo, Liang Shen, Tao Sheng, Alwyn Dos Remedios
  • Patent number: 9171355
    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.
    Type: Grant
    Filed: January 9, 2014
    Date of Patent: October 27, 2015
    Assignee: QUALCOMM Incorporated
    Inventors: Shaojie Zhuo, Xiaopeng Zhang, Chen Feng, Liang Shen, Jiaya Jia
  • Publication number: 20150125092
    Abstract: Systems and methods for multispectral imaging are disclosed. The multispectral imaging system can include a near infrared (NIR) imaging sensor and a visible imaging sensor. The disclosed systems and methods can be implemented to de-noise a visible light image using a gradient scale map generated from gradient vectors in the visible light image and a NIR image. The gradient scale map may be used to determine the amount of de-noising guidance applied from the NIR image to the visible light image on a pixel-by-pixel basis.
    Type: Application
    Filed: January 9, 2014
    Publication date: May 7, 2015
    Applicant: QUALCOMM Incorporated
    Inventors: Shaojie Zhuo, Xiaopeng Zhang, Chen Feng, Liang Shen, Jiaya Jia
  • Publication number: 20140240477
    Abstract: Systems and methods for detecting and attenuating shadows in a visible light image are disclosed. In various embodiments, shadows on human skin may be detected and attenuated using multi-spectral imaging techniques. Multispectral image data that includes a living subject can be processed to detect live-subject portions of the multispectral image data. Shadows in the detected live-subject portions of the multispectral image data can be identified. The identified shadows in at least part of the multispectral image data can be attenuated.
    Type: Application
    Filed: February 26, 2013
    Publication date: August 28, 2014
    Applicant: QUALCOMM INCORPORATED
    Inventors: Chen Feng, Xiaopeng Zhang, Liang Shen, Shaojie Zhuo