This inventor holds 1 USPTO granted patent. Top assignee: South China Normal University. Active years: 2022.
Company Filing History:
Years Active: 2022
Title: Innovations of Xiaofang Dai in Compressed Sensing Imaging Systems
Introduction
Xiaofang Dai is an accomplished inventor based in Guangzhou, China. He has made significant contributions to the field of imaging technology, particularly through his innovative work on compressed sensing based object imaging systems. His inventions aim to enhance the efficiency and effectiveness of image recognition and processing.
Latest Patents
Xiaofang Dai holds a patent for a "Compressed sensing based object imaging system and imaging method therefor." This system comprises several key components, including a light source generation unit, a filter unit, an image generation unit, an image acquisition unit, and an image reconstruction unit. The light source generation unit produces experimental laser light, while the filter unit filters high-frequency scattered light to form parallel light. The image generation unit creates an experimental image that superimposes an object image with a specific measurement matrix. The image acquisition unit performs compression sampling on the generated experimental image, and the image reconstruction unit reconstructs the sampling data to restore the object image. The imaging method involves establishing a sample database, training sample images to obtain the specific measurement matrix, and completing image sampling, compression, and recognition in an all-optical system. This innovative approach significantly reduces the data volume required for image recognition and matching, thereby improving the system's real-time performance.
Career Highlights
Xiaofang Dai is affiliated with South China Normal University, where he continues to advance research in imaging technologies. His work has garnered attention for its potential applications in machine vision and artificial intelligence, paving the way for concurrent processing capabilities.
Collaborations
Xiaofang Dai has collaborated with notable colleagues, including Jun Li and Miao Lei, who contribute to his research endeavors. Their combined expertise enhances the development of innovative imaging solutions.
Conclusion
Xiaofang Dai's contributions to compressed sensing imaging systems represent a significant advancement in the field of image processing. His innovative methods and systems have the potential to revolutionize how images are captured and analyzed, leading to improved real-time performance in various applications.