Company Filing History:
Years Active: 2021-2024
Title: John Brendan McCormac: Innovator in Video Data Mapping
Introduction
John Brendan McCormac is a notable inventor based in Banbridge, GB. He has made significant contributions to the field of computer vision and robotics through his innovative patents. With a total of 2 patents, McCormac's work focuses on enhancing the understanding and representation of three-dimensional spaces using video data.
Latest Patents
McCormac's latest patents include groundbreaking methods for mapping object instances using video data. This method involves applying an object recognition pipeline to video frames, which generates a mask output of detected objects. By fusing this mask output with depth data, McCormac's approach creates a detailed map of object instances. The object instances are defined using surface-distance metric values within a three-dimensional object volume, allowing for precise object pose estimates.
Another significant patent by McCormac is related to detecting objects in video data. This innovation enables the generation of semantically-labelled representations of a three-dimensional space from video data. By utilizing a two-dimensional image classifier, McCormac's method updates object-label probability values for surface elements, resulting in a semantically-labelled 3D surface element representation. This advancement is crucial for improving the capabilities of computer vision and robotic applications.
Career Highlights
John Brendan McCormac is associated with Imperial College Innovations Limited, where he continues to develop his innovative ideas. His work has positioned him as a key figure in the realm of video data analysis and object recognition.
Collaborations
McCormac has collaborated with notable colleagues, including Andrew Davison and Ankur Handa. These partnerships have further enriched his research and development efforts in the field.
Conclusion
John Brendan McCormac's contributions to the field of computer vision through his innovative patents demonstrate his expertise and commitment to advancing technology. His work continues to influence the development of more effective robotic and computer vision applications.