Stanford, CA, United States of America

Lyne P Tchapmi


Average Co-Inventor Count = 5.0

ph-index = 1

Forward Citations = 8(Granted Patents)


Company Filing History:


Years Active: 2021

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1 patent (USPTO):Explore Patents

Title: Innovations by Lyne P Tchapmi

Introduction

Lyne P Tchapmi is an accomplished inventor based in Stanford, CA. He has made significant contributions to the field of 3D point cloud processing. His innovative work focuses on systems and methods for semantic segmentation, which is crucial for various applications in computer vision and robotics.

Latest Patents

Lyne P Tchapmi holds a patent for "Systems and methods for semantic segmentation of 3D point clouds." This patent describes systems and methods for obtaining 3D point-level segmentation of 3D point clouds. One embodiment of the invention includes at least one processor and a memory containing a segmentation pipeline application. The segmentation pipeline application configures the processor to pre-process a 3D point cloud to group 3D points. It also provides these groups to a 3D neural network to generate initial label predictions. Furthermore, it interpolates label predictions for individual 3D points based on initial predictions from neighboring groups, refines the predictions using a graph neural network, and outputs a segmented 3D point cloud.

Career Highlights

Lyne P Tchapmi is affiliated with Leland Stanford Junior University, where he continues to advance his research and development in the field of 3D point cloud technology. His work has garnered attention for its innovative approach and practical applications.

Collaborations

Some of his notable coworkers include Christopher Bongsoo Choy and Iro Armeni, who contribute to the collaborative research environment at Leland Stanford Junior University.

Conclusion

Lyne P Tchapmi's contributions to the field of 3D point cloud segmentation highlight his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in the capabilities of computer vision systems.

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