Trumansburg, NY, United States of America

Daniel Huttenlocher

This inventor holds 1 USPTO granted patent. Top assignee: Cornell University. Active years: 2016.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Daniel Huttenlocher. Retrieved from https://idiyas.com/inventor/daniel-huttenlocher

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 3.0

ph-index = 1

Forward Citations = 7(Granted Patents)


Company Filing History:


Years Active: 2016

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1 patent (USPTO):Explore Patents

Title: Daniel Huttenlocher: Innovator in Camera Pose Estimation

Introduction

Daniel Huttenlocher is a prominent inventor based in Trumansburg, NY (US). He is known for his contributions to the field of computer vision and photography. His innovative work focuses on the estimation of camera poses, which is crucial for accurately determining the location and orientation of digital photographs.

Latest Patents

Daniel Huttenlocher holds a patent for a system and methods for world-scale camera pose estimation. This patent involves techniques for determining where a digital photograph was taken by estimating the camera pose with respect to a global scale three-dimensional database. The system establishes accurate location and orientation through feature correspondence and geometry estimated from collections of photographs. He has 1 patent to his name.

Career Highlights

Huttenlocher is affiliated with Cornell University, where he has made significant contributions to research and development in his field. His work has implications for various applications, including augmented reality and geographic information systems.

Collaborations

Throughout his career, Daniel has collaborated with notable colleagues, including Noah Snavely and Yungpeng Li. These collaborations have further advanced the research in camera pose estimation and related technologies.

Conclusion

Daniel Huttenlocher's innovative work in camera pose estimation showcases his expertise and dedication to advancing technology in photography and computer vision. His contributions continue to influence the field and inspire future innovations.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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