This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Beihang University. Active years: 2017-2018.
Company Filing History:
Years Active: 2017-2018
Title: Innovations of Kan Guo in 3D Model Technology
Introduction
Kan Guo is a prominent inventor based in Beijing, China, known for his contributions to the field of three-dimensional (3D) modeling. With a total of three patents to his name, Guo has made significant strides in enhancing the accuracy and efficiency of 3D model analysis and classification.
Latest Patents
One of Guo's latest patents is titled "Method for co-segmenting three-dimensional models represented by sparse and low-rank feature." This method involves pre-segmenting each 3D model to obtain patches, constructing histograms for these patches, and performing sparse and low-rank representation to achieve accurate co-segmentation of the models. Another notable patent is "Deep learning based method and apparatus for three-dimensional model triangular facet feature learning and classifying." This invention utilizes a deep convolutional neural network (CNN) to enhance the feature learning and classification of 3D model triangular facets, ensuring improved accuracy in the results.
Career Highlights
Kan Guo is affiliated with Beihang University, where he applies his expertise in 3D modeling and deep learning. His work at the university has positioned him as a key figure in advancing research in this innovative field.
Collaborations
Guo collaborates with notable colleagues, including Xiaowu Chen and Qinping Zhao, contributing to various research projects that aim to push the boundaries of 3D modeling technology.
Conclusion
Kan Guo's innovative patents and research at Beihang University highlight his significant contributions to the field of 3D modeling. His work continues to influence advancements in technology and research methodologies.