Company Filing History:
Years Active: 2024
Title: Michael Thomas Pecchia: Innovator in Depth-Guided Structure-from-Motion Techniques
Introduction
Michael Thomas Pecchia is a notable inventor based in Los Angeles, CA. He has made significant contributions to the field of imaging technology, particularly through his innovative patent related to depth-guided structure-from-motion techniques. His work has implications for various applications in digital content processing and computer vision.
Latest Patents
Michael holds a patent for "Depth-guided structure-from-motion techniques." This patent describes systems, devices, and methods that facilitate depth-guided structure from motion. The system is designed to obtain a plurality of image frames from a digital content item corresponding to a scene. It determines a set of 2-D keypoints for these image frames based on a correspondence search. A depth estimator is employed to generate a plurality of dense depth maps for the image frames. The combination of 2-D keypoints and dense depth maps is utilized to establish a corresponding set of depth priors. The process may involve initialization and/or depth-regularized optimization using the keypoints and depth priors. Michael has 1 patent to his name.
Career Highlights
Michael Thomas Pecchia is currently associated with Amazon Technologies, Inc., where he continues to develop and refine his innovative ideas. His work at Amazon has allowed him to explore advanced imaging techniques and contribute to the company's technological advancements.
Collaborations
Michael has collaborated with talented individuals such as Xiaohan Nie and Leo Chan. These collaborations have fostered a creative environment that encourages innovation and the development of cutting-edge technologies.
Conclusion
Michael Thomas Pecchia is a distinguished inventor whose work in depth-guided structure-from-motion techniques has made a significant impact in the field of imaging technology. His contributions continue to influence advancements in digital content processing and computer vision.