San Jose, CA, United States of America

Joy D'Souza

USPTO Granted Patents = 2 

Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2021-2025

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2 patents (USPTO):Explore Patents

Title: Joy D'Souza: Innovator in Graphical Fiducial Marker Identification

Introduction

Joy D'Souza is an accomplished inventor based in San Jose, CA. He has made significant contributions to the field of image processing and augmented reality. With a total of 2 patents, D'Souza's work focuses on enhancing the identification of graphical fiducial markers.

Latest Patents

D'Souza's latest patents include innovative methods for graphical fiducial marker identification. In these patents, image data is received that represents an image. Corner detection is utilized to identify pixels that may be candidate corner points. The image data is converted from a higher dimensional color space to a lower dimensional color space, allowing for the identification of boundaries within the converted image. A set of candidate corner points is determined that are within a threshold distance to one of the boundaries. This set is then analyzed to identify a subset of candidate corner points that represent corners of polygons. Using this subset, one or more polygons are identified, and a filter is applied to determine if a polygon corresponds to a fiducial marker boundary.

Career Highlights

D'Souza is currently employed at Nvidia Corporation, a leading technology company known for its advancements in graphics processing and artificial intelligence. His work at Nvidia has allowed him to push the boundaries of what is possible in augmented reality and robotics.

Collaborations

Some of his notable coworkers include Vukasin Milovanovic and Rochelle Pereira, who contribute to the innovative environment at Nvidia Corporation.

Conclusion

Joy D'Souza's contributions to graphical fiducial marker identification demonstrate his expertise and commitment to advancing technology. His patents reflect a deep understanding of image processing and its applications in modern technology.

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