Nicolas Laliberte

Title: Nicolas Laliberte and Biometric Anti-Spoofing Innovation

Introduction

Nicolas Laliberte is an inventor associated with Montreal, Canada, and Airy3D Inc. His patent work addresses biometric anti-spoofing through depth imaging and neural networks.

Latest Patents

The provided information lists 1 patent for Laliberte: “Methods and Systems Using Depth Imaging for Training and Deploying Neural Networks for Biometric Anti-Spoofing.” The disclosed method processes images of a biometric object from two different viewpoints. A trained neural network’s disparity encoder extracts information about the differences between those viewpoints, and a classification branch uses that encoded information to estimate whether the object is genuine or spoofed. The patent also describes training techniques that combine disparity-map estimation with biometric spoofing detection.

Career Highlights

Laliberte’s listed patent connects depth-based image analysis with neural-network classification for biometric security. The provided information identifies Airy3D Inc. as his company.

Collaborations

The listed coworkers are Jimmy Leroux and Ji-ho Cho. The provided information does not specify their roles in the patent or their particular contributions.

Conclusion

Nicolas Laliberte’s listed invention applies depth imaging and neural networks to biometric anti-spoofing, reflecting a focused contribution to security technology.