Stephen King

Memorial University of Newfoundland

Papers

1

Total Citations

8

H-Index

1

About

Stephen King is a leading researcher in automated seafood processing and computer vision, with a focus on point cloud segmentation for marine species identification. His most-cited work, "A Novel Approach for Porcupine Crab Identification and Processing Based on Point Cloud Segmentation" (2021, 8 citations), addresses a critical bottleneck in the seafood industry: the reliance on manual labor for processing non-standardized species like porcupine crabs. By developing a novel algorithm that segments 3D point cloud data to accurately identify and orient these crabs for automated cutting, King’s research promises to boost production rates and reduce costs in commercial seafood lines. This contribution is particularly impactful given the industry’s shift toward automation in large-scale operations for species like snow crab and Latin fish. King’s work stands out for its practical application, bridging advanced computational methods with real-world industrial challenges. His achievements highlight a commitment to transforming traditional labor-intensive processes into efficient, technology-driven solutions, making him a key figure in the intersection of robotics, computer vision, and sustainable seafood production.

Research Focus

Key Achievements

1
H-Index
1
Papers
8
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
A Novel Approach for Porcupine Crab Identification and Processing Based on Point Cloud Segmentation
8 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Memorial University of Newfoundland

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago