Company Filing History:
Years Active: 2013
Title: Manmohan Chandraker: Innovator in Camera Motion and Structure Reconstruction
Introduction: Manmohan Chandraker is a notable inventor based in La Jolla, California. He has made significant contributions to the field of computer vision, particularly in the estimation of camera motion and structure reconstruction. His innovative work has led to the development of a patented system that enhances the understanding of visual input data.
Latest Patents: Manmohan Chandraker holds a patent for a system and method titled "Structure and motion with stereo using lines." This patent describes a comprehensive approach to estimating camera motion and reconstructing a scene's structure using lines. The system comprises several modules, including a line detection module, a line correspondence module, a temporal line tracking module, and a structure and motion module. The line detection module is designed to identify lines in visual input data, which consists of multiple image frames. The line correspondence module finds relationships between detected lines, while the temporal line tracking module tracks these lines over time. Finally, the structure and motion module estimates camera motion and reconstructs three-dimensional lines based on the detected lines in the visual input data. Manmohan has 1 patent to his name.
Career Highlights: Manmohan Chandraker is currently associated with Honda Motor Co., Ltd., where he applies his expertise in computer vision to advance the company's technological capabilities. His work focuses on enhancing the understanding of visual data, which is crucial for various applications in automotive technology.
Collaborations: Manmohan has collaborated with Jongwoo Lim, contributing to the development of innovative solutions in the field of camera motion and structure reconstruction.
Conclusion: Manmohan Chandraker's contributions to the field of computer vision through his patented innovations demonstrate his commitment to advancing technology. His work continues to influence the way we understand and utilize visual data in various applications.