Bo-Hsiung Hsu
Papers
1
Total Citations
114
H-Index
1
About
Bo-Hsiung Hsu is a leading researcher in computer vision and real-time embedded systems, with a primary focus on stereo vision algorithms and their hardware architectures. His most influential work, the 2010 paper "Algorithm and Architecture of Disparity Estimation With Mini-Census Adaptive Support Weight," has garnered 114 citations and stands as a cornerstone in the field. In this seminal contribution, Hsu introduced a high-performance, hardware-friendly disparity estimation algorithm that dramatically improves the efficiency of real-time stereo vision systems—critical for applications ranging from robotics and autonomous vehicles to multiview video coding and 3D video conferencing. By combining a mini-census transform with adaptive support weight techniques, his approach achieves both accuracy and speed, enabling practical deployment in resource-constrained environments. This work has directly influenced the development of next-generation depth-sensing technologies and autonomous navigation systems. Hsu’s contributions bridge the gap between algorithmic innovation and hardware implementation, making him a pivotal figure in advancing real-time 3D perception. His research continues to shape how machines understand depth and spatial relationships in dynamic environments.
Research Focus
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Top Papers
- 1