Tel Aviv, Israel

Matan Feldman

USPTO Granted Patents = 2 

Average Co-Inventor Count = 6.0

ph-index = 1


Company Filing History:


Years Active: 2024-2025

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2 patents (USPTO):Explore Patents

Title: Matan Feldman: Innovator in 3D Face Reconstruction Technology

Introduction

Matan Feldman is a prominent inventor based in Tel Aviv, Israel. He has made significant contributions to the field of 3D face reconstruction technology. With a focus on innovative methods for creating three-dimensional models from two-dimensional images, Feldman has secured a total of 2 patents.

Latest Patents

Feldman's latest patents include a system and method for the reconstruction of a three-dimensional human head model from a single image. This innovative approach involves feeding a 2D image into a preparatory network to generate 3D landmarks, facial features, and segmentation maps. The process continues with a parameter regressor network that predicts various parameters necessary for creating a detailed 3D face model.

Another notable patent is a system and method for reconstructing an animatable three-dimensional human head model from an image using an implicit representation network. This method utilizes a hypernetwork to generate weights for an implicit representation network, which then produces multi-view face images that are essential for generating a comprehensive 3D model.

Career Highlights

Matan Feldman is currently associated with De-identification Ltd., where he applies his expertise in 3D modeling and image processing. His work is at the forefront of technological advancements in facial recognition and modeling.

Collaborations

Feldman collaborates with talented individuals such as Or Gorodissky and Amitay Nachmani, contributing to a dynamic and innovative work environment.

Conclusion

Matan Feldman's contributions to 3D face reconstruction technology highlight his role as a leading inventor in this field. His innovative patents and collaborative efforts continue to push the boundaries of what is possible in facial modeling and recognition.

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