Location History:
- Chicago, IL (US) (2021)
- Berkeley, CA (US) (2024)
Company Filing History:
Years Active: 2021-2024
Title: Innovations of Niranjan Kotha
Introduction
Niranjan Kotha is an accomplished inventor based in Chicago, IL. He has made significant contributions to the field of image processing and camera technology. With a total of two patents to his name, Kotha's work focuses on enhancing the quality and accuracy of image translation and camera pose data.
Latest Patents
Kotha's latest patents include a method, apparatus, and computer program product for point-to-point translation between images. This innovation establishes correspondences between images by generating translations between different perspectives. The method involves receiving sensor data from two image sensors, identifying image correspondence points, and generating a translation vector that aligns the second image sensor data with ground truth data.
Another notable patent is a method, apparatus, and system for estimating the quality of camera pose data using ground control points of known quality. This approach determines the quality of camera pose data by processing images to identify pixel locations of features with known physical locations. It computes the minimum distance between projected rays from the camera and the known physical locations, providing an output that indicates the quality of the camera pose data.
Career Highlights
Niranjan Kotha works at Here Global B.V., where he continues to innovate in the field of image processing. His expertise in developing methods for image translation and camera pose estimation has positioned him as a valuable asset in his company.
Collaborations
Kotha collaborates with talented individuals such as David Johnston Lawlor and Anish Mittal, contributing to a dynamic work environment that fosters innovation and creativity.
Conclusion
Niranjan Kotha's contributions to image processing and camera technology through his patents demonstrate his commitment to advancing these fields. His work not only enhances the quality of image data but also sets a foundation for future innovations.