Eventor accepted by DAC 2022: FPGA acceleration for event-based monocular multi-view stereo

👏 Paper title: Eventor: An Efficient Event-Based Monocular Multi-View Stereo Accelerator on FPGA Platform.

Eventor accelerates event-based monocular multi-view stereo, a 3D vision workload built around asynchronous event camera streams. Event cameras offer high temporal resolution and sparse output, but the EMVS pipeline still contains intensive stages such as event back-projection and volumetric ray-counting.

The paper maps these critical kernels to an FPGA-based heterogeneous platform with parallel and pipelined processing elements. It also reformulates parts of the EMVS algorithm through scheduling, approximation, and hybrid quantization, improving throughput and energy efficiency for real-time event-based 3D perception on embedded systems.

Eventor is designed around the sparse and asynchronous nature of event data. Instead of treating event streams like conventional video frames, the accelerator uses hardware parallelism to process event-driven geometry operations directly.

This makes the work relevant for robotics, autonomous systems, and low-latency vision, where event cameras can provide fast response under challenging motion or lighting conditions. The FPGA implementation demonstrates how algorithm reformulation and architecture mapping can make event-based 3D reconstruction more practical.