Company Filing History:
Years Active: 2016
Title: The Innovative Contributions of Jie Ni
Introduction
Jie Ni is a prominent inventor based in Hyattsville, MD, known for his significant contributions to the field of image processing. With a total of two patents to his name, he has developed innovative methods that enhance the understanding of three-dimensional geometric boundaries in images.
Latest Patents
One of Jie Ni's latest patents is a method for detecting 3D geometric boundaries in images of scenes subject to varying lighting. This method allows for the detection of three-dimensional geometric boundaries in images that undergo changes in lighting conditions due to light sources positioned differently. By aligning images captured by a stationary camera, the method extracts patches of corresponding pixels and determines confidence values for the presence of 3D geometric boundaries at specific locations.
Another notable patent is his method for factorizing images of a scene into basis images. This technique recovers a set of nonnegative lighting basis images from input images taken by a stationary camera. Each image is illuminated by a combination of stationary light sources, and the method factorizes the input images into nonnegative lighting basis images and indicator coefficients, revealing how each light source contributes to the overall appearance of the scene.
Career Highlights
Jie Ni is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to push the boundaries of image processing technology. His work has garnered attention for its practical applications in various fields, including computer vision and graphics.
Collaborations
Throughout his career, Jie Ni has collaborated with notable colleagues such as Tim Marks and Oncel C Tuzel. These collaborations have further enriched his research and contributed to the advancement of innovative technologies in image processing.
Conclusion
Jie Ni's inventive methods and patents reflect his dedication to advancing the field of image processing. His work not only enhances our understanding of 3D geometric boundaries but also paves the way for future innovations in the industry.