This inventor holds 1 USPTO granted patent. Top assignee: Siemens Corporate Research, Inc.. Active years: 2007.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2007
Title: Nikolaos Paraglos: Innovator in Shape Priors for Level Set Representations
Introduction
Nikolaos Paraglos is a notable inventor based in Plainsboro, NJ (US). He has made significant contributions to the field of image processing through his innovative patent. His work focuses on the development of shape priors for level set representations, which has important applications in image segmentation.
Latest Patents
Nikolaos Paraglos holds a patent titled "Shape priors for level set representations." This invention relates to the use of shape priors in level set representations. An embodiment of the invention comprises a first stage and a second stage. In the first stage, a shape model can be built directly on level set space using a collection of samples. The shape model can be constructed using a variational framework to create a non-stationary pixel-wise model that accounts for shape variabilities. Then, in the second stage, the shape model can be used as a basis to introduce the shape prior in an energetic form. In terms of level set representations, the shape prior aims at minimizing non-stationary distance between the evolving interface and the shape model. An embodiment according to the present invention can be integrated with an existing, data-driven variational method to perform image segmentation for physically corrupted and incomplete data. Nikolaos Paraglos has 1 patent to his name.
Career Highlights
Nikolaos Paraglos is currently associated with Siemens Corporate Research, Inc., where he continues to advance his research in image processing and related technologies. His work has garnered attention for its innovative approach to solving complex problems in the field.
Collaborations
Nikolaos Paraglos collaborates with Mikael Rousson, contributing to the advancement of their shared research interests.
Conclusion
Nikolaos Paraglos is a distinguished inventor whose work on shape priors for level set representations has the potential to significantly impact the field of image processing. His contributions continue to inspire advancements in technology and innovation.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile