This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignees: Koninklijke Kpn N.v., Nederlandse Organisatie Voor Toegepast-Natuurwetenschappelijk Onderzoek Tno. Active years: 2026.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:


Years Active: 2026
Title: Sylvie Dijkstra-Soudarissanane: Innovator in Volumetric Image Data Encoding
Introduction
Sylvie Dijkstra-Soudarissanane is a notable inventor based in Delft, Netherlands. She has made significant contributions to the field of image processing, particularly in the encoding and decoding of volumetric image data. Her innovative work has led to the development of a patented method that enhances the way volumetric images are handled.
Latest Patents
Sylvie holds a patent for an encoding method that involves obtaining an input set of volumetric image data. The method includes selecting data from the image for multiple views based on visibility from respective viewpoints. Each view is encoded as a separate output set, and metadata is generated to indicate the viewpoints. The decoding method allows for determining a desired user viewpoint and selecting available viewpoints based on that. This innovative approach significantly improves the efficiency of volumetric image data processing. She has 1 patent to her name.
Career Highlights
Throughout her career, Sylvie has worked with prominent organizations, including Koninklijke KPN N.V. and the Netherlands Organization for Applied Scientific Research (TNO). Her experience in these companies has allowed her to refine her skills and contribute to various projects in the field of image processing.
Collaborations
Sylvie has collaborated with Emmanuel Thomas, enhancing her work through shared expertise and innovative ideas.
Conclusion
Sylvie Dijkstra-Soudarissanane is a pioneering inventor whose work in volumetric image data encoding has made a lasting impact in the field. Her contributions continue to influence advancements in image processing technology.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile