Beijing, China

Yanhua Cheng

This inventor holds 1 USPTO granted patent. Top assignee: Chinese Academy of Sciences. Active years: 2019.


Average Co-Inventor Count = 3.0

ph-index = 1


Company Filing History:


Years Active: 2019

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1 patent (USPTO):Explore Patents

Title: Yanhua Cheng: Innovator in RGB-D Object Recognition

Introduction

Yanhua Cheng is a prominent inventor based in Beijing, China. He has made significant contributions to the field of object recognition through his innovative methods and technologies. His work focuses on enhancing the robustness of recognizing RGB-D objects, which has important applications in various technological domains.

Latest Patents

Yanhua Cheng holds a patent titled "Method and apparatus for recognizing RGB-D objects based on adaptive similarity measure of dense matching item." This patent discloses a method and apparatus that includes several key steps. The process involves extracting convolution neural network features from both a to-be-queried object and a reference object. Dense matching is then performed based on these features, which are fused with RGB and depth information. The similarity between the reference object and the to-be-queried object is measured according to the dense matching result. Finally, the to-be-queried object is classified based on this similarity. This innovative approach addresses the technical challenge of improving the robustness of object recognition.

Career Highlights

Yanhua Cheng is affiliated with the Chinese Academy of Sciences, where he continues to advance research in his field. His work has garnered attention for its practical applications and contributions to technology.

Collaborations

Yanhua Cheng collaborates with notable colleagues, including Kaiqi Huang and Xin Zhao. Their combined expertise enhances the research and development efforts within their projects.

Conclusion

Yanhua Cheng's contributions to the field of RGB-D object recognition exemplify the impact of innovative thinking in technology. His patent and ongoing research continue to pave the way for advancements in object recognition systems.

Profile summary based on public USPTO records.
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