Amir Bassan-Eskenazi

Title: Inventor Amir Bassan-Eskenazi: Pioneering Innovations in Facial Modeling

Introduction

Amir Bassan-Eskenazi, a prominent inventor based in Los Altos, California, has made significant contributions to the field of facial modeling technology. With a portfolio of seven patents, his work focuses on creating advanced models of human faces that have practical applications in various industries.

Latest Patents

Among his latest innovations, Amir has developed a groundbreaking method for creating a variable model of a face. This method entails obtaining a non-riggable model of the person's face and undergoing a dual approximation process. The first step involves generating an intermediate variable model by adjusting shape parameters until specific conditions are met. The second step further refines this model by modifying vertices to produce a dynamic representation of the individual's face.

Another notable patent from Amir involves the creation of a non-riggable model of a face, utilizing video and depth information captured from multiple camera angles. This process includes steps such as separating facial information from the background, determining translation and rotation parameters for each camera position, and generating a cohesive model based on this data.

Career Highlights

Amir's career includes significant roles in innovative companies such as Pixie Technology Inc. and Cavendish Capital LLC. His work at these organizations has contributed to advancing technologies related to facial recognition and modeling.

Collaborations

Throughout his career, Amir has collaborated with talented colleagues, including Ofer Friedman and Ran Oz. These partnerships have fostered an environment of creativity and innovation, leading to the development of effective solutions in facial modeling technology.

Conclusion

Amir Bassan-Eskenazi continues to be a leading figure in the field of face modeling, pushing the boundaries of technology with his inventive methods and collaborations. His contributions not only enhance the understanding of human facial structures but also pave the way for future innovations in this exciting area of research and application.