Company Filing History:
Years Active: 2012-2014
Title: Hien Nguyen: Innovator in Object Shape Representation
Introduction
Hien Nguyen is a notable inventor based in College Park, MD, with a focus on advanced methods for representing object shapes. With two patents to his name, Nguyen has made significant contributions to the field of object recognition and classification.
Latest Patents
Nguyen's latest patents include innovative techniques for representing object shapes using radial basis function support vector machine classification. This method involves representing the shape of an object by a set of points both inside and outside the shape. A decision function is learned from these points, allowing for the selection of feature points and the determination of local descriptors for each feature point. Another patent focuses on representing objects with concentric ring signature descriptors for detecting 3D objects in range images. In this approach, a 3D object is represented by a descriptor derived from a 3D point cloud. The method includes locating local support for each point in the point cloud and generating reference axes to apply a polar grid for creating a 2D histogram.
Career Highlights
Hien Nguyen is currently employed at Mitsubishi Electric Research Laboratories, Inc., where he continues to develop innovative solutions in object recognition. His work has been instrumental in advancing the capabilities of machine learning and computer vision technologies.
Collaborations
Nguyen collaborates with Fatih M Porikli, a fellow researcher who contributes to the development of advanced algorithms and techniques in the field.
Conclusion
Hien Nguyen's contributions to the field of object shape representation highlight his innovative spirit and dedication to advancing technology. His patents reflect a deep understanding of machine learning and object recognition, making him a valuable asset in his field.