This inventor holds 3 USPTO granted patents and 1 published patent application. Top assignee: Microsoft Technology Licensing, LLC. Active years: 2022-2025.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Location History:
- Dubendorf, CH (2022)
- Zurich, CH (2023)
Company Filing History:
Years Active: 2022-2025
Title: Ondrej Miksik: Innovator in Camera Localization and Image Feature Optimization
Introduction
Ondrej Miksik is a notable inventor based in Dubendorf, Switzerland. He has made significant contributions to the field of camera localization and image feature detection. With a total of 3 patents, Miksik's work is at the forefront of technological advancements in machine learning and computer vision.
Latest Patents
Miksik's latest patents include innovative methods for camera localization within a scene. One of his inventions involves a machine learning model that detects 3D scene landmarks from images captured by a camera. This model outputs predictions that help estimate the camera's position and orientation within a pre-built map of the scene. Another significant patent focuses on optimizing the accuracy of local feature detection in various physical environments. This invention utilizes a bilevel optimization framework to adapt local image feature models to specific target environments, enhancing personalization and accuracy.
Career Highlights
Miksik is currently employed at Microsoft Technology Licensing, LLC, where he continues to develop cutting-edge technologies. His work has garnered attention for its practical applications in enhancing camera systems and image processing techniques.
Collaborations
Miksik has collaborated with notable colleagues such as Sudipta Narayan Sinha and Joseph Michael Degol. Their combined expertise contributes to the innovative projects they undertake at Microsoft.
Conclusion
Ondrej Miksik's contributions to camera localization and image feature optimization highlight his role as a leading inventor in the technology sector. His patents reflect a commitment to advancing machine learning applications, making significant impacts in the field.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
