M. Arias-Estrada

National Institute of Astrophysics, Optics and Electronics, Université Laval

Papers

Total Citations

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About

M. Arias-Estrada is a leading researcher in reconfigurable computing and neuromorphic vision systems, with a focus on real-time image processing architectures. His work bridges the gap between custom hardware design and intelligent perception, particularly through FPGA-based implementations and novel sensor architectures. One of his most influential contributions is an FPGA stereo matching unit based on fuzzy logic (2016, 18 citations), which demonstrates how reconfigurable logic can efficiently handle computationally intensive depth perception tasks. Earlier, he developed a pioneering motion vision sensor architecture with asynchronous self-signaling pixels (2002, 13 citations), a custom CMOS imager that integrates motion computation directly at the sensor level. This design, which correlates moving edges in time using a compact pixel with analog signal processing, represents an early and elegant approach to neuromorphic vision. Throughout his career, Arias-Estrada has consistently advanced the field of hardware-accelerated computer vision, showing how custom digital and mixed-signal circuits can achieve real-time performance for complex visual tasks. His work remains highly relevant for researchers exploring embedded vision, smart sensors, and reconfigurable computing for AI applications.