This inventor holds 1 USPTO granted patent. Top assignee: University System of Maryland. Active years: 2011.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2011
Title: Aravind Sundaresan: Innovator in Markerless Motion Capture Technology
Introduction
Aravind Sundaresan is a notable inventor based in Sunnyvale, CA (US). He has made significant contributions to the field of motion capture technology. His innovative approach focuses on creating a completely automated end-to-end method for markerless motion capture.
Latest Patents
Sundaresan holds a patent for a "Method and system for markerless motion capture using multiple cameras." This patent describes a sophisticated system that performs segmentation of articulating objects in Laplacian Eigenspace. The method is applicable to handling poses of varying complexity. The technology utilizes a 3D voxel representation of acquired images, which are mapped to a higher-dimensional space. This mapping allows for the extraction of 1-D representations of articulating chains. A bottom-up approach is employed to build a parametric representation of a general articulated body, followed by a top-down probabilistic approach that registers the segments to an average human body model. The parameters of the model are further optimized using the segmented and registered voxels.
Career Highlights
Sundaresan is affiliated with the University System of Maryland, where he continues to advance his research and development in motion capture technology. His work has garnered attention for its innovative approach and practical applications in various fields.
Collaborations
One of his notable collaborators is Ramalingam Chellappa, with whom he has worked on various projects related to motion capture and computer vision.
Conclusion
Aravind Sundaresan's contributions to markerless motion capture technology highlight his innovative spirit and dedication to advancing the field. His work continues to influence the development of automated systems in motion analysis.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
