Papers
7
Total Citations
137
H-Index
6
About
Congying Sui is a prominent researcher specializing in 3D optical sensing, surface reconstruction, and robotic vision systems, with a particular focus on advancing industrial automation and robotics applications. Her work addresses some of the most demanding challenges in computer vision, including high-speed 3D measurement, transparent and highly reflective surface reconstruction, and deformable object manipulation. Among her most influential contributions is her development of high-speed optical 3D measurement sensors for industrial robotics, which has garnered 45 citations, reflecting its significant impact on the field. Her innovative LTFtF method for reconstructing transparent object surfaces — a notoriously difficult problem — has similarly resonated with the research community, earning 44 citations. Sui has also made notable strides in active stereo reconstruction using multistep matching frameworks, pushing the boundaries of precision in automated inspection and manipulation tasks. Beyond static and rigid surfaces, Sui's research extends to dynamic scenarios, including moving object reconstruction through spatial-temporal multiplexing and point-cloud-based shape servoing for deformable objects. Her collective body of work demonstrates a consistent drive to bridge theoretical innovation with practical industrial deployment, making her a valuable voice in the rapidly evolving landscape of robotic perception and 3D machine vision.
Research Focus
Key Achievements
Top Papers
- 1High-Speed Optical 3D Measurement Sensor for Industrial Application45 citations · 2020
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- 3Active Stereo 3-D Surface Reconstruction Using Multistep Matching23 citations · 2020
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