Nelson Yen-Chung Chang
Industrial Technology Research Institute, ITRI International
Papers
2
Total Citations
124
H-Index
2
About
Dr. Nelson Yen-Chung Chang is a leading researcher in computer vision and embedded systems, best known for his pioneering work in real-time stereo vision and 3D reconstruction. His most influential contribution is the development of a high-performance disparity estimation algorithm using mini-census adaptive support weight, published in 2010 and cited over 114 times. This work addressed a critical bottleneck in hardware-friendly stereo matching, enabling practical applications in robotics, autonomous vehicles, and 3D video conferencing. Dr. Chang also made significant contributions to RGB-D sensor analysis, notably through his 2014 study on error analysis and 3D reconstruction using KinectFusion. By introducing a sensor model to generate ground-truth depth data, he provided a rigorous framework for evaluating reconstruction accuracy—a foundational step for advancing consumer-grade depth sensing. His research bridges algorithmic innovation with hardware implementation, earning recognition for its direct impact on real-world systems. Dr. Chang’s work continues to influence the design of efficient, accurate vision systems for autonomous navigation and immersive media.
Research Focus
Key Achievements
Top Papers
- 1
- 2Error analysis and experiments of 3D reconstruction using a RGB-D sensor10 citations · 2014