Vijay Gunasekaran

Title: Innovations by Vijay Gunasekaran

Introduction

Vijay Gunasekaran is an accomplished inventor based in Royal Oak, MI (US). He has made significant contributions to the field of computer vision and facial recognition technology. With a total of 2 patents, his work is paving the way for advancements in how facial images are processed and retrieved.

Latest Patents

One of his latest patents is the "Facial Images Retrieval System." This innovative system is designed to receive an initial textual description of a facial image, allowing for an initial search that retrieves a variety of facial images based on that description. The system further refines the search by allowing users to select facial images that are closest to the desired image, enabling a more accurate retrieval process.

Another notable patent is the "Computer Vision Neural Network System." This system incorporates a computer with a multi-attribute loss module that combines normalized feature vector descriptors to create a master feature vector descriptor. This descriptor captures the attributes and classes of a facial image, estimating error distances between the master descriptor and class center vector descriptors, which represent various soft-biometric classes across multiple facial images.

Career Highlights

Vijay is currently employed at Algoface, Inc., where he continues to innovate in the realm of facial recognition technology. His work is instrumental in enhancing the capabilities of computer vision systems, making them more efficient and effective.

Collaborations

He collaborates with talented individuals such as Amjad Hussain and Taleb Alashkar, contributing to a dynamic work environment that fosters creativity and innovation.

Conclusion

Vijay Gunasekaran's contributions to facial recognition technology through his patents demonstrate his expertise and commitment to advancing the field. His work at Algoface, Inc. continues to influence the development of innovative solutions in computer vision.