Alexandria Shearer
Papers
1
Total Citations
17
H-Index
1
About
Alexandria Shearer’s research lies at the intersection of reconfigurable computing, real-time computer vision, and embedded systems. Her most cited work, “Real-time 3D reconstruction for FPGAs: A case study for evaluating the performance, area, and programmability trade-offs of the Altera OpenCL SDK” (2014, 17 citations), tackles a critical bottleneck in augmented reality and mobile robotics: enabling real-time 3D reconstruction from low-cost depth sensors without relying on powerful GPUs. By systematically evaluating FPGA-based implementations using high-level synthesis tools, Shearer demonstrated how reconfigurable hardware can achieve competitive performance while drastically reducing power and form factor—opening the door for embedded, untethered applications. Her contributions provide a foundational framework for understanding the trade-offs between performance, chip area, and programmer productivity when porting vision algorithms to FPGAs. This work is particularly notable for its practical, case-study approach, offering clear guidance for engineers and researchers seeking to deploy real-time 3D perception on resource-constrained platforms. Shearer’s research continues to influence the design of efficient, hardware-accelerated vision systems, bridging the gap between algorithmic complexity and real-world deployability.
Research Focus
Key Achievements
Top Papers
- 1