This inventor holds 1 USPTO granted patent. Top assignee: Arcsoft Corporation Limited. Active years: 2022.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2022
Title: Sanyong Fang: Innovator in Facial Classification Technology
Introduction
Sanyong Fang is a prominent inventor based in Nanjing, China. He has made significant contributions to the field of image processing, particularly in facial classification technology. His innovative approach has the potential to enhance the efficiency of facial image analysis and classification.
Latest Patents
Sanyong Fang holds a patent for a "Method and apparatus for face classification." This patent outlines a method that involves acquiring a color image of a target face, which includes information from at least one channel. The information is then input into a neural network, which classifies the target face based on the information and a first parameter. This first parameter includes at least one facial category and data for identifying the facial category of the target face. The method allows for the analysis of facial attributes from facial images and enables automatic classification, reducing the burden of manual classification and improving overall efficiency.
Career Highlights
Sanyong Fang is associated with Arcsoft Corporation Limited, where he applies his expertise in image processing and facial recognition technologies. His work has contributed to advancements in the field, making significant strides in how facial images are processed and classified.
Collaborations
Sanyong Fang has collaborated with notable colleagues, including Han Qiu and Kangning Song. Their combined efforts have fostered innovation and development in facial classification technologies.
Conclusion
Sanyong Fang's contributions to facial classification technology exemplify the impact of innovative thinking in the field of image processing. His patent and work at Arcsoft Corporation Limited highlight the importance of advancements in this area, paving the way for more efficient and effective facial image analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
