Company Filing History:
Years Active: 2025
Title: Linyi Jin - Innovator in Machine Learning Based Image Calibration
Introduction
Linyi Jin is a prominent inventor based in Ann Arbor, MI (US). He has made significant contributions to the field of image processing through his innovative patent. His work focuses on utilizing machine learning techniques to enhance image calibration processes.
Latest Patents
Linyi Jin holds a patent for "Machine learning based image calibration using dense fields." This patent describes systems and methods for image dense field-based view calibration. In one embodiment, an input image is processed through a dense field machine learning model, which generates a vertical vector dense field (VVF) and a latitude dense field (LDF) from the input image. The VVF provides a vertical vector of a projected vanishing point direction for each pixel, while the LDF offers a projected latitude value for the pixels. This dense field map can be utilized for various image processing manipulations and can derive traditional camera calibration parameters from uncontrolled images.
Career Highlights
Linyi Jin is currently employed at Adobe, Inc., where he continues to develop and refine his innovative ideas. His work at Adobe has allowed him to collaborate with other talented professionals in the field.
Collaborations
Some of Linyi Jin's notable coworkers include Jianming Zhang and Kevin Matzen. Their collective expertise contributes to the advancement of image processing technologies.
Conclusion
Linyi Jin's contributions to machine learning and image calibration demonstrate his innovative spirit and commitment to advancing technology. His patent reflects the potential for significant improvements in image processing applications.