Patents by Inventor Xuefeng XI

Xuefeng XI 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).

  • Method for retrieving footprint images
    Patent number: 11809485
    Abstract: A method for retrieving footprint images is provided, comprising: pre-training models; cleaning footprint data and conducting expansion pre-processing by using the pre-trained models, dividing the footprint data into multiple data sets; adjusting full connection layers and classification layers of the models; training the models again by using the data sets through the parameters of the pre-trained models; saving the models trained twice, removing the classification layer, executing a feature extraction for images in an image library and a retrieval library to form a feature index library; connecting the features extracted by three models to form fused features, establishing a fused feature vector index library; extracting the features of the images in the image library to be retrieved in advance, and establishing a feature vector library; calculating distances in the retrieval library and the image library when a single footprint image is inputted, thereby outputting the image with the highest similarity.
    Type: Grant
    Filed: November 25, 2020
    Date of Patent: November 7, 2023
    Assignees: SUZHOU UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUNSHAN PUBLIC SECURITY BUREAU
    Inventors: Xuefeng Xi, Yang Chen, Cheng Zeng, Qian Zhang, Cheng Cheng, Baochuan Fu, Zhiming Cui
  • METHOD FOR RETRIEVING FOOTPRINT IMAGES
    Publication number: 20220100793
    Abstract: A method for retrieving footprint images is provided, comprising: pre-training models; cleaning footprint data and conducting expansion pre-processing by using the pre-trained models, dividing the footprint data into multiple data sets; adjusting full connection layers and classification layers of the models; training the models again by using the data sets through the parameters of the pre-trained models; saving the models trained twice, removing the classification layer, executing a feature extraction for images in an image library and a retrieval library to form a feature index library; connecting the features extracted by three models to form fused features, establishing a fused feature vector index library; extracting the features of the images in the image library to be retrieved in advance, and establishing a feature vector library; calculating distances in the retrieval library and the image library when a single footprint image is inputted, thereby outputting the image with the highest similarity.
    Type: Application
    Filed: November 25, 2020
    Publication date: March 31, 2022
    Applicants: SUZHOU UNIVERSITY OF SCIENCE AND TECHNOLOGY, KUNSHAN PUBLIC SECURITY BUREAU
    Inventors: Xuefeng XI, Yang CHEN, Cheng ZENG, Qian ZHANG, Cheng CHENG, Baochuan FU, Zhiming CUI