Herve Poirier

Title: Herve Poirier: Innovator in Privacy-Preserving Technologies

Introduction

Herve Poirier is a notable inventor based in Meylan, France. He has made significant contributions to the field of technology, particularly in privacy-preserving systems and vehicle classification methods. With a total of 9 patents to his name, Poirier continues to push the boundaries of innovation.

Latest Patents

One of his latest patents is titled "Privacy-preserving evidence in ALPR applications." This invention provides a system and method for preserving the privacy of evidence. In this method, an encrypted first image is generated by encrypting a first image acquired at a first location with a symmetric cryptographic key. This key is based on first information, such as a license plate number extracted from the first image, and first metadata associated with the first image, such as the time at which the first image was acquired. When a link is established between a second image and the first image through visual signature matching, the symmetric cryptographic key can be reconstructed without accessing the first image. Instead, it relies on the first metadata and information extracted from the second image. The reconstructed symmetric cryptographic key can then be used for decryption of the encrypted image to establish evidence that the license plate number was indeed extracted from the first image.

Another significant patent is "Vehicle classification from laser scanners using fisher and profile signatures." This invention involves methods, systems, and processor-readable media for vehicle classification. Vehicles can be scanned utilizing a laser scanner to compile data indicative of an optical profile of the vehicles. The optical profile associated with the vehicles is pre-processed, and particular features are extracted following this pre-processing. The vehicles can then be classified based on these extracted features. A segmented laser profile is treated as an image, and profile features that integrate the signal in one of the two directions of the image, along with Fisher vectors that aggregate statistics of local 'patches' of the image, are computed and utilized as part of the extraction and classification process.

Career Highlights

Herve Poirier has worked with prominent companies such as Xerox Corporation and Conduent Business Services, LLC. His experience in these organizations has contributed to his expertise in developing innovative technologies.

Collaborations

Poirier has collaborated with notable individuals in his field, including Nelly Tarbouriech and Caroline Privault. These collaborations