London, United Kingdom

Ankur Handa


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 10(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Ankur Handa: Innovator in 3D Object Detection

Introduction

Ankur Handa is a notable inventor based in London, GB. He has made significant contributions to the field of computer vision through his innovative patent. His work focuses on enhancing the understanding of three-dimensional (3D) spaces using video data.

Latest Patents

Ankur Handa holds a patent for "Detecting objects in video data." This patent describes methods for generating semantically-labelled representations of a 3D space from video data. The technology involves creating a surface element or 'surfel' representation, where the geometry of the space is modeled using multiple surfaces defined within a 3D coordinate system. The process includes determining object-label probability values for spatial elements of video frames using a two-dimensional image classifier. By identifying surface elements corresponding to these spatial elements, the object-label probability values are updated, resulting in a semantically-labelled 3D surface element representation of objects present in the video data. This advancement enables better utilization of 3D representations in computer vision and robotic applications.

Career Highlights

Ankur Handa is associated with Imperial College Innovations Limited, where he continues to develop his innovative ideas. His work has garnered attention for its potential applications in various technological fields.

Collaborations

Ankur has collaborated with notable colleagues, including John Brendan Mccormac and Andrew Davison. Their combined expertise contributes to the advancement of research and development in their respective areas.

Conclusion

Ankur Handa's contributions to the field of 3D object detection through his patent demonstrate his innovative spirit and commitment to advancing technology. His work continues to influence the realms of computer vision and robotics.

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