This paper proposes to harness the surface of the skin caused by the pulsatile flow of blood in the wrist region. It investigates whether an event camera could be used for continuous noninvasive monitoring of heart rate (HR). Event camera video data from 25 participants, comprising varying age groups and skin colours, was collected and analysed.
This paper proposes an effective data filtering method to improve the quality of training data, thus enhancing model performance. Additionally, it introduces an image-based event representation that outperforms existing representations.
This paper proposes a novel LiDAR and event camera fusion modality for subterranean (SubT) environments for fast and precise object and human detection in a wide variety of adverse lighting conditions, such as low or no light, high-contrast zones and in the presence of blinding light sources
This work proposes a novel coarse-to-fine framework, named NETwork of Event-based motion Deblurring with STereo event and intensity cameras (St-EDNet), to recover high-quality images directly from the misaligned inputs, consisting of a single blurry image and the concurrent event streams.
blurry image and the concurrent event streams.
This work aims at re-exposing the captured photo in the post-processing, providing a more flexible way to address issues within a unified framework. Specifically, it propose a neural network based image re-exposure framework.