Cuixian Chen

Title: Inventor Spotlight: Cuixian Chen - Advancing Demographic Analysis of Facial Landmarks

Introduction:

In the realm of innovative developments, Cuixian Chen, hailing from Wilmington, North Carolina, has made noteworthy contributions to the field of demographic analysis of facial landmarks. With two patents under his name, Chen has spearheaded advancements that utilize facial landmarks to discern gender classifications in facial images. This article sheds light on his patents, place of work, and notable colleagues.

Patent 1: Demographic Analysis of Facial Landmarks

Chen's first patent revolves around the creation of training vectors and accurate gender classification based on facial landmarks. In this invention, a series of training vectors are assigned to either the male or female gender, representing facial landmarks derived from distinct facial images. An input vector with facial landmarks is also identified from a particular facial image. By selecting a relevant subset of the facial landmarks, a feature vector is created. The feature vector is then compared, with weights assigned, to each training vector to classify the specific facial image as either male or female.

Patent 2: Refining Demographic Analysis of Facial Landmarks

The second patent builds upon the first, continuing the development of techniques for demographic analysis through facial landmarks. Following a similar methodology, training vectors are mapped to male or female genders, each representing facial landmarks extracted from different facial images. An input vector of facial landmarks is derived from a specific facial image, and a subset of the landmarks is selected to construct a feature vector. A weighted comparison between the feature vector and each training vector enables the classification of the facial image as male or female.

Place of Work: University of North Carolina at Wilmington

Cuixian Chen is associated with the University of North Carolina at Wilmington, where he performs research and contributes to the field of demographic analysis of facial landmarks alongside his esteemed peers. The university provides a rich academic and innovative environment for researchers and inventors to explore cutting-edge advancements.

Notable Colleagues: Karl Ricanek, Jr and Yishi Wang

Within the academic community, Chen collaborates with prominent individuals in the field. Two key figures in his professional network include Karl Ricanek, Jr and Yishi Wang. Their collective expertise and contributions further solidify the advancements made in demographic analysis of facial landmarks.

Conclusion:

Cuixian Chen, an inventor and researcher based in Wilmington, North Carolina, has made significant strides in developing techniques for demographic analysis of facial landmarks. His patents showcase a novel approach in accurately classifying facial images into male or female categories. Through his association with the University of North Carolina at Wilmington and collaborations with esteemed colleagues, Chen continues to drive innovation in his field.