Company Filing History:
Years Active: 2013-2020
Title: Marco Zennaro: Innovator in Camera Pose Optimization
Introduction
Marco Zennaro is a prominent inventor based in San Francisco, CA. He has made significant contributions to the field of camera technology, particularly in optimizing camera pose through innovative methods. With a total of 7 patents to his name, Zennaro continues to push the boundaries of what is possible in image location and detection.
Latest Patents
One of Zennaro's latest patents is titled "Image location through large object detection - Camera pose optimization." This invention focuses on determining the position and orientation of a camera in three-dimensional space at different times. The method improves accuracy by detecting higher-confidence reference objects in photographs captured by the camera. These reference objects are characterized as stationary, fixed, easily recognized, and relatively large. In practical applications, street-level photographs of a geographic area are collected by a vehicle equipped with a camera. The captured images are geo-coded using GPS data, which may have inaccuracies. The vehicle drives in a loop, capturing the same reference object multiple times from nearly the same position. By aligning the points of multiple images where the trajectory crosses itself, an additional constraint is created on the pose data, enhancing its consistency and accuracy.
Career Highlights
Marco Zennaro is currently employed at Google Inc., where he applies his expertise in camera technology and image processing. His work has garnered attention for its innovative approach to solving complex problems in the field.
Collaborations
Zennaro has collaborated with notable colleagues such as Luc Vincent and Andrea Lynn Frome. Their combined efforts contribute to advancements in technology and innovation within their respective fields.
Conclusion
Marco Zennaro is a key figure in the realm of camera pose optimization, with a focus on enhancing the accuracy of image location through innovative methods. His contributions continue to shape the future of camera technology and image processing.
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