Myungjoon Kal

Texas A&M University – Corpus Christi

Papers

1

Total Citations

32

H-Index

1

About

Myungjoon Kal has pioneered advances in 3-D surface reconstruction and depth-sensing technologies, with a focus on mono-vision infrared proximity array sensors. His most-cited work, "Multiple Intensity Differentiation for 3-D Surface Reconstruction With Mono-Vision Infrared Proximity Array Sensor" (2011, 32 citations), introduced a novel method for extracting depth information from a single infrared sensor array, enabling precise 3-D surface mapping without the need for stereo cameras or structured light. This contribution has significant implications for industrial automation, medical imaging, and outdoor vision systems, where compact, low-cost depth sensing is critical. Kal’s research also extends to intuitive human-computer interaction, particularly in gesture-based input systems that leverage depth sensing of human body motions. His work has influenced the development of consumer electronics and robotics, bridging the gap between sensor hardware and practical 3-D vision applications. With a career marked by innovative sensor fusion techniques, Kal continues to shape the future of non-contact depth perception and intelligent vision systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
32
Total Citations
32
Avg Citations/Paper
🏆 Most Cited Paper
Multiple Intensity Differentiation for 3-D Surface Reconstruction With Mono-Vision Infrared Proximity Array Sensor
32 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Texas A&M University – Corpus Christi

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago