Secrets of event-based optical flow
Event cameras respond to scene dynamics and offer advantages to estimate motion.
Following recent image-based deep-learning achievements, optical flow estimation methods …
Following recent image-based deep-learning achievements, optical flow estimation methods …
Secrets of event-based optical flow, depth and ego-motion estimation by contrast maximization
Event cameras respond to scene dynamics and provide signals naturally suitable for motion
estimation with advantages, such as high dynamic range. The emerging field of event-based …
estimation with advantages, such as high dynamic range. The emerging field of event-based …
Event collapse in contrast maximization frameworks
Contrast maximization (CMax) is a framework that provides state-of-the-art results on several
event-based computer vision tasks, such as ego-motion or optical flow estimation. However …
event-based computer vision tasks, such as ego-motion or optical flow estimation. However …
Event-based optical flow via transforming into motion-dependent view
Event cameras respond to temporal dynamics, helping to resolve ambiguities in spatio-
temporal changes for optical flow estimation. However, the unique spatio-temporal event …
temporal changes for optical flow estimation. However, the unique spatio-temporal event …
Motion robust high-speed light-weighted object detection with event camera
The event camera asynchronously produces the event stream with a high temporal
resolution, discarding redundant visual information and bringing new possibilities for moving …
resolution, discarding redundant visual information and bringing new possibilities for moving …
Real-time optical flow for vehicular perception with low-and high-resolution event cameras
Event cameras capture changes of illumination in the observed scene rather than
accumulating light to create images. Thus, they allow for applications under high-speed …
accumulating light to create images. Thus, they allow for applications under high-speed …
Event-based imaging velocimetry: an assessment of event-based cameras for the measurement of fluid flows
CE Willert, J Klinner - Experiments in Fluids, 2022 - Springer
Contrary to conventional frame-based imaging, event-based vision or dynamic vision
sensing asynchronously records binary signals of intensity changes for given pixels with …
sensing asynchronously records binary signals of intensity changes for given pixels with …
Taming contrast maximization for learning sequential, low-latency, event-based optical flow
F Paredes-Vallés, KYW Scheper… - Proceedings of the …, 2023 - openaccess.thecvf.com
Event cameras have recently gained significant traction since they open up new avenues for
low-latency and low-power solutions to complex computer vision problems. To unlock these …
low-latency and low-power solutions to complex computer vision problems. To unlock these …
Progressive spatio-temporal alignment for efficient event-based motion estimation
In this paper, we propose an efficient event-based motion estimation framework for various
motion models. Different from previous works, we design a progressive event-to-map …
motion models. Different from previous works, we design a progressive event-to-map …
Fast event-based optical flow estimation by triplet matching
Event cameras are novel bio-inspired sensors that offer advantages over traditional cameras
(low latency, high dynamic range, low power, etc.). Optical flow estimation methods that work …
(low latency, high dynamic range, low power, etc.). Optical flow estimation methods that work …