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Inter-event interval microscopy for event cameras
Event cameras detect intensity changes rather than absolute intensity, recording variations as a stream of “event.” Intensity reconstruction from these sparse events remains a significant challenge. Previous approaches focused on transforming motion-induced events into videos or achieving intensity imaging for static scenes through
Changqing Su +7 more
openaire +3 more sources
Events-To-Video: Bringing Modern Computer Vision to Event Cameras [PDF]
Event cameras are novel sensors that report brightness changes in the form of asynchronous “events” instead of intensity frames. They have significant advantages over conventional cameras: high temporal resolution, high dynamic range, and no motion blur.
Henri Rebecq +3 more
openaire +3 more sources
E2VIDX: improved bridge between conventional vision and bionic vision
Common RGBD, CMOS, and CCD-based cameras produce motion blur and incorrect exposure under high-speed and improper lighting conditions. According to the bionic principle, the event camera developed has the advantages of low delay, high dynamic range, and ...
Xujia Hou +4 more
doaj +1 more source
Aquaporin‐3 and aquaporin‐5 impact the development of pancreatic ductal adenocarcinoma spheroids
Schematic representation of the role of aquaporin‐3 (AQP3) and aquaporin‐5 (AQP5) in pancreatic ductal adenocarcinoma (PDAC). Both proteins are upregulated in PDAC and are associated with tumor progression and metastatic potential. Silencing AQP3 or AQP5 in PDAC spheroids results in decreased diameter, area, and overall growth, underscoring their key ...
Catarina Pimpão +3 more
wiley +1 more source
Event camera simulation sample code.zip
This is the matlab sample code for the event camera focus emulator used in section 4.1 of our article. The event camera autofocus emulator shows two examples of the article, and the reader can also feel free to choose their own pictures for ...
Yuhan Bao (14292401), Yuqin Ma (2088550)
core +1 more source
Event Camera Data Pre-training
This paper proposes a pre-trained neural network for handling event camera data. Our model is a self-supervised learning framework, and uses paired event camera data and natural RGB images for training. Our method contains three modules connected in a sequence: i) a family of event data augmentations, generating meaningful event images for self ...
Yan Yang 0011, Liyuan Pan, Liu Liu 0009
openaire +4 more sources
Faces in Event Streams (FES): An Annotated Face Dataset for Event Cameras
The use of event-based cameras in computer vision is a growing research direction. However, despite the existing research on face detection using the event camera, a substantial gap persists in the availability of a large dataset featuring annotations ...
Ulzhan Bissarinova +3 more
doaj +1 more source
Fast Classification and Action Recognition With Event-Based Imaging
The neuromorphic event cameras, which capture the optical changes of a scene, have drawn increasing attention due to their high speed and low power consumption. However, the event data are noisy, sparse, and nonuniform in the spatial-temporal domain with
Chang Liu +3 more
doaj +1 more source
Effect of terahertz irradiation on DNA damage repair in living cells
We investigated the effect of terahertz (THz) wave irradiation on DNA double‐strand break (DSB) repair in living cells. We found that THz irradiation enhanced DSB repair at specific frequencies, whereas heat treatment inhibited it, indicating that this effect is nonthermal and frequency‐specific.
Yuya Ueno +3 more
wiley +1 more source
This paper presents an autonomous method to address challenges arising from severe lighting conditions in machine vision applications that use event cameras. To manage these conditions, the research explores the built in potential of these cameras to adjust pixel functionality, named bias settings.
Mehdi Sefidgar Dilmaghani +4 more
openaire +3 more sources

