Phuoc Tien Nguyen

Title: Phuoc Tien Nguyen: Innovator in Stereo Matching Technology

Introduction

Phuoc Tien Nguyen is a notable inventor based in Suwon-si, South Korea. He has made significant contributions to the field of computer vision, particularly in stereo matching technology. His innovative approach utilizes convolutional neural networks to enhance the accuracy of disparity map generation from stereo images.

Latest Patents

Phuoc Tien Nguyen holds a patent for a method titled "Method for stereo matching using end-to-end convolutional neural network." This patent discloses a stereo matching method that generates a disparity map from stereo images. The process involves obtaining a cost volume by applying a first convolutional neural network (CNN) to a left image and a second CNN to a right image. The cost volume is determined based on feature maps extracted from both images. The method further includes normalizing the cost volume using a third CNN, up-sampling the normalized cost volume, and obtaining a disparity map through regression analysis.

Career Highlights

Phuoc Tien Nguyen is affiliated with Sungkyunkwan University, where he continues to advance his research in the field of computer vision. His work has garnered attention for its practical applications in various industries, including robotics and autonomous systems.

Collaborations

He collaborates with esteemed colleagues such as Jaewook Jeon and Jinyoung Byun, contributing to a dynamic research environment that fosters innovation and development in technology.

Conclusion

Phuoc Tien Nguyen's contributions to stereo matching technology exemplify the impact of innovative thinking in the field of computer vision. His work not only advances academic research but also has the potential to influence practical applications in technology.