Sungchan Park

Pohang University of Science and Technology

Papers

Total Citations

H-Index

About

Sungchan Park is a researcher in computer architecture and real-time vision processing, with a focus on high-speed parallel systems for stereo matching. His most-cited work, "A High-Speed Parallel Architecture for Stereo Matching" (2006), introduces a dedicated hardware design that accelerates the computationally intensive process of depth estimation from stereo images. This contribution addresses a critical bottleneck in embedded and robotic vision systems, enabling real-time performance through efficient parallel processing. While his citation count is modest, the work demonstrates foundational thinking in hardware-software co-design for computer vision, offering a scalable solution that balances speed and resource utilization. Park’s research bridges the gap between algorithmic complexity and practical deployment, making it relevant for students and engineers working on autonomous systems, augmented reality, or low-power vision chips. His approach to parallel architecture design provides a clear example of how domain-specific hardware can overcome the limitations of general-purpose processors in real-time applications.