AUZEVILLE-TOLOSANE, France

Xavier Naturel

This inventor holds 1 USPTO granted patent and 2 EPO patents. Top assignee: Fittingbox. Active years: 2025.


% Patents Active = 100.0

 

Average Co-Inventor Count = 2.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: The Innovative Mind of Xavier Naturel

Introduction

Xavier Naturel is a notable inventor based in Auzeville-Tolosane, France. He has made significant contributions to the field of machine learning, particularly in the area of object detection and modeling. His innovative approach has led to the development of a unique learning method that enhances the capabilities of machine learning systems.

Latest Patents

Xavier Naturel holds 1 patent for his invention titled "Learning method for a machine learning system for detecting and modeling an object in an image, corresponding computer program product and device." This patent outlines a learning method that involves obtaining augmented reality images, which include real images and virtual elements representative of objects or characteristic regions. The method further details the acquisition of learning information for each augmented reality image, enabling the machine learning system to effectively detect and model objects in given images.

Career Highlights

Throughout his career, Xavier has worked with prominent companies such as Fittingbox and Orange. His experience in these organizations has allowed him to refine his skills and contribute to advancements in technology. His work has been instrumental in bridging the gap between augmented reality and machine learning.

Collaborations

Xavier has collaborated with talented individuals in his field, including Ariel Choukroun and Sid Ahmed Berrani. These partnerships have fostered innovation and have led to the successful development of his patented technology.

Conclusion

Xavier Naturel's contributions to machine learning and augmented reality demonstrate his innovative spirit and dedication to advancing technology. His patent reflects a significant step forward in the detection and modeling of objects, showcasing the potential of machine learning systems.

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