Company Filing History:
Years Active: 2020-2022
Title: The Innovative Contributions of Junli Ping
Introduction
Junli Ping is a notable inventor based in Clifton Park, NY (US). She has made significant contributions to the field of three-dimensional modeling and image processing. With a total of four patents to her name, her work has advanced the capabilities of drone technology and 3D reconstruction.
Latest Patents
One of her latest patents is titled "Image and video capture architecture for three-dimensional reconstruction." This invention relates to an automatic and efficient motion plan for a drone to collect and save a qualified dataset that may be used to improve the reconstruction of 3D models using the acquired data. The architecture provides an automatic image processing context, eliminating low-quality images and providing improved image data for point cloud generation and texture mapping. Another significant patent is "Three-dimensional modeling of an object." This approach utilizes a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In this implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The generated point cloud serves as input for a foreground/background segmentation algorithm, which produces a set of segmented 2D images used by a space carving routine to create a 3D model of the object.
Career Highlights
Junli Ping is currently employed at General Electric Company, where she continues to innovate and develop new technologies. Her work has been instrumental in enhancing the efficiency and accuracy of 3D modeling techniques.
Collaborations
Some of her notable coworkers include Eric Michael Gros and Arpit Jain, with whom she collaborates on various projects within the company.
Conclusion
Junli Ping's contributions to the field of 3D modeling and image processing demonstrate her innovative spirit and technical expertise. Her patents reflect a commitment to advancing technology and improving the capabilities of modern imaging systems.
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