Yueming Ma
Papers
1
Total Citations
5
H-Index
1
About
Yueming Ma is a leading researcher in underwater computer vision and image processing, with a primary focus on correcting the severe visual distortions that plague autonomous underwater systems. Their most influential work tackles the critical challenge of vignetting—the uneven brightness caused by artificial lighting on underwater robots—which degrades image quality and hampers machine perception in deep-sea environments. Ma’s 2024 paper, “Underwater Vignetting Image Correction Based on Binary Polynomial Regularization and Latent Low-Rank Representation,” introduces a novel algorithmic framework that simultaneously corrects brightness falloff, restores contrast, and removes color casts. By combining binary polynomial regularization with latent low-rank representation, this method achieves robust performance even in turbid, low-visibility waters. Although recently published, the work has already garnered 5 citations, signaling its immediate impact on the field. Ma’s contributions are vital for advancing autonomous underwater vehicle navigation, marine biology monitoring, and underwater inspection tasks, where reliable visual data is essential. Their research stands at the intersection of optics, machine learning, and robotics, offering practical solutions for real-world underwater imaging challenges.
Research Focus
Key Achievements
Top Papers
- 1