Jens Korinth
Papers
1
Total Citations
25
H-Index
1
About
Jens Korinth is a leading researcher in reconfigurable computing and high-performance hardware architectures, with a particular focus on real-time computer vision and embedded systems. His most cited work, "A Scalable High-Performance Hardware Architecture for Real-Time Stereo Vision by Semi-Global Matching" (2016, 25 citations), addresses the critical challenge of enabling accurate depth perception from stereo camera images—a foundational task for robotics and automation. Korinth’s major contribution lies in designing scalable, FPGA-based accelerators that overcome the high computational complexity of algorithms like Semi-Global Matching (SGM), achieving real-time performance without sacrificing accuracy. This work has been influential in bridging the gap between algorithmic sophistication and practical hardware deployment. Beyond stereo vision, Korinth has advanced the field of reconfigurable computing through innovative memory architectures and runtime systems for FPGAs, enabling more efficient and flexible hardware-software co-design. His contributions are widely cited in the embedded vision and reconfigurable systems communities, reflecting their impact on both academic research and industrial applications. Korinth’s research continues to push the boundaries of what is possible in real-time, high-accuracy perception for autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1