Shang-Hung Lin

Title: The Innovative Brilliance of Shang-Hung Lin

Introduction

Shang-Hung Lin is a prominent inventor based in Princeton, NJ, recognized for his groundbreaking work in the field of artificial intelligence and computer vision. With a single patent to his name, Lin's contributions are influential in the realm of neural networks and object recognition.

Latest Patents

Lin's patent, titled "Neural Network for Locating and Recognizing a Deformable Object," presents a sophisticated system designed to automatically detect and identify deformable objects, such as human faces, within various image scenes. The innovation comprises an object detector, executed as a probabilistic Deep Belief Neural Network (DBNN), which assesses whether an object exists within the scene. Alongside this, a feature localizer—also a probabilistic DBNN—determines the location of key features on the object, including the eyes. Furthermore, a feature extractor uses these coordinates to gather information on other facial attributes, such as the eyebrows and nose, ultimately creating a low-resolution image that a probabilistic DBNN-based object recognizer utilizes to identify the object.

Career Highlights

As a professional, Shang-Hung Lin has worked at notable institutions including Siemens Corporate Research and Princeton University. His experiences at these prestigious organizations have greatly shaped his research and innovation trajectory.

Collaborations

During his career, Lin has collaborated with esteemed colleagues like Sun-Yuan Kung and Long-Ji Lin. Their collective expertise has contributed to advancements in neural networks and object detection technologies.

Conclusion

Shang-Hung Lin continues to exemplify the spirit of innovation through his endeavors, particularly in the fields of artificial intelligence and computer vision. His patent stands as a testament to his creativity and commitment to improving the way technology interacts with the world.