Ruipeng Min

Title: Innovations of Ruipeng Min in Contour Shape Recognition

Introduction

Ruipeng Min is an accomplished inventor based in Jiangsu, China. He has made significant contributions to the field of contour shape recognition, showcasing his expertise through innovative methodologies. His work is particularly relevant in the context of image processing and artificial intelligence.

Latest Patents

Ruipeng Min holds a patent for a contour shape recognition method. This method involves several key steps, including sampling and extracting salient feature points from a shape sample's contour. It calculates a feature function at a semi-global scale using three types of shape descriptors. The process further divides the scale with a single pixel spacing to acquire a shape feature function in a full-scale space. The feature function values are stored in a matrix to create three types of feature grayscale map representations. These representations are then synthesized into a color feature representation image. Finally, a two-stream convolutional neural network is constructed, taking both the shape sample and the feature representation image as inputs, which is then trained for shape classification.

Career Highlights

Ruipeng Min is affiliated with Soochow University, where he continues to advance his research and development in the field of shape recognition. His innovative approach has garnered attention and respect within the academic community.

Collaborations

He has collaborated with notable colleagues, including Jianyu Yang and Yao Huang, contributing to various projects that enhance the understanding and application of contour shape recognition.

Conclusion

Ruipeng Min's work in contour shape recognition exemplifies the intersection of technology and innovation. His contributions are paving the way for advancements in image processing and artificial intelligence.