Sebastien Gilbert

Title: The Innovative Contributions of Sebastien Gilbert

Introduction

Sebastien Gilbert is a notable inventor based in Granby, CA. He has made significant contributions to the field of image processing and machine learning, holding a total of three patents. His work focuses on enhancing image classification techniques and rectifying oblique images, showcasing his expertise in the application of convolutional neural networks.

Latest Patents

Sebastien Gilbert's latest patents include "Image classification by convolutional neural network using radial summation" and "Oblique image rectification." The first patent describes a method, a computer program product, and a computer system that classify an image using a convolutional neural network. This method involves receiving an image, performing a radial summation on it to generate a radially summed image, and then inputting this image into the CNN for classification. The second patent outlines techniques for oblique image rectification. It includes receiving an original image depicting an oblique view of a circular object, pre-processing it into an edge image, and generating a heatmap with an ellipse formed by the oblique view. The techniques further involve computing ellipse parameters and performing an affine transformation to generate a rectified image that converts the ellipse to a circle.

Career Highlights

Sebastien Gilbert is currently employed at International Business Machines Corporation (IBM), where he continues to innovate and develop new technologies. His work at IBM has allowed him to collaborate with other talented professionals in the field, further enhancing his contributions to technology.

Collaborations

Some of Sebastien's coworkers include Michele Merler and Dhiraj Joshi. Their collaboration fosters a creative environment that encourages the development of cutting-edge solutions in image processing and machine learning.

Conclusion

Sebastien Gilbert's innovative work in image classification and rectification demonstrates his significant impact on technology. His patents reflect a deep understanding of machine learning and image processing, contributing to advancements in these fields.