Cambridge, MA, United States of America

Eduardo Pavez


Average Co-Inventor Count = 4.0

ph-index = 1

Forward Citations = 1(Granted Patents)


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Innovations by Eduardo Pavez in Point Cloud Compression

Introduction

Eduardo Pavez is an accomplished inventor based in Cambridge, MA (US). He has made significant contributions to the field of data compression, particularly in the area of point clouds. His innovative work has led to the development of a unique patent that enhances the efficiency of point cloud encoding.

Latest Patents

Eduardo Pavez holds a patent for a "System and method for inter-frame predictive compression for point clouds." This patent describes a point cloud encoder that includes an input interface to accept a dynamic point cloud comprising a sequence of point cloud frames of a scene. The processor encodes blocks of a current point cloud frame to produce an encoded frame. For encoding a current block, a reference block is selected based on a similarity metric. This reference block serves as a basis for encoding the current block, allowing for efficient data compression. The process involves pairing each point in the current block to a point in the reference block and encoding the current block based on the identification of the reference block and the residuals between the paired points.

Career Highlights

Eduardo Pavez is currently employed at Mitsubishi Electric Research Laboratories, Inc. His work at this prestigious institution has allowed him to explore advanced technologies and contribute to innovative solutions in data processing and compression.

Collaborations

Some of Eduardo's notable coworkers include Dong Tian and Robert Cohen. Their collaboration has fostered a creative environment that encourages the development of cutting-edge technologies.

Conclusion

Eduardo Pavez's contributions to point cloud compression exemplify the impact of innovative thinking in technology. His patent reflects a significant advancement in the field, showcasing his expertise and dedication to improving data encoding methods.

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