Yiwen Dou

Donghua University, Anhui Polytechnic University

Papers

Total Citations

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About

Yiwen Dou is a researcher whose work bridges robotics and computer vision, with a particular focus on object extraction and visual control systems. In their early career, Dou contributed to the development of a visual servo control system for a 2-DOF parallel robot (2012, 5 citations), laying groundwork in robotic manipulation and real-time visual feedback. More recently, Dou proposed a novel narrowband C-V model for saliency object extraction (2018, 2 citations), introducing a unified framework that integrates empirical mode decomposition, saliency models, and Snakes to efficiently extract objects from complex backgrounds. This work addresses the critical challenge of reducing computational complexity in object extraction, making it more practical for real-world applications. While still early in their career, Dou’s research demonstrates a clear trajectory toward solving fundamental problems in visual perception and robotic control. Their contributions are particularly relevant for researchers working on autonomous systems, image segmentation, and adaptive visual servoing. With continued development, Dou’s work holds promise for advancing both theoretical understanding and practical deployment of intelligent vision-guided systems.