Changling Wang
Papers
1
Total Citations
6
H-Index
1
About
Dr. Changling Wang is a researcher specializing in 3D computer vision and depth sensor calibration, with a particular focus on multi-sensor systems for full surface model reconstruction. His most cited work, "Calibration of multiple Kinect depth sensors for full surface model reconstruction" (2016, 6 citations), presents a pioneering investigation into methods for calibrating a four-Kinect scanning system. This research addresses a critical challenge in 3D imaging: achieving accurate, seamless alignment of multiple depth sensors to capture complete object geometries without gaps. Wang's contributions have advanced practical applications in digital archiving, virtual reality, and automated inspection, where high-fidelity 3D models are essential. By systematically comparing calibration techniques and demonstrating a working multi-Kinect setup, his work provides a foundational reference for researchers and engineers building cost-effective, high-resolution scanning arrays. Though early in his citation trajectory, Wang's focus on accessible, multi-sensor solutions marks him as a promising contributor to the field of 3D reconstruction and sensor fusion.
Research Focus
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Top Papers
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