Intensity-image reconstruction from events
WebWang, Lin and Kuk-Jin Yoon Pattern Recognition Journal, 2024 (IF: 7.74, rank: 17/140, 20/273) Joint Intensity Image Reconstruction and Super-Resolution with an Even Camera Wang, Lin, Tae-Kyun Kim, and Kuk-Jin Yoon IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI (IF: 17.861, rank: 2/266,1/136) WebFeb 18, 2024 · This repository contains code for brightness image reconstruction from a rotating event camera. For simplicity, we assume that the orientation of the camera is given, e.g., it is provided by a pose-tracking algorithm or by ground truth camera poses.
Intensity-image reconstruction from events
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WebAbstract: Event cameras sense intensity changes and have many advantages over conventional cameras. To take advantage of event cameras, some methods have been proposed to reconstruct intensity images from event streams. However, the outputs are still in low resolution (LR), noisy, and unrealistic. Webhave tackled the challenge of estimating image intensity from contrast events [3{5,9,29]. Image reconstruction algorithms that operate directly on the event stream typically …
WebEvent cameras sense intensity changes and have many advantages over conventional cameras. To take advantage of event cameras, some methods have been proposed to … WebJun 29, 2024 · The orbital angular momentum (OAM) holography has been marked a path to achieving ultrahigh capacity holographic information systems. However, the practical applicability of the OAM holography is limited by the complicated optical setup and unadjustable image intensity and position. Here, a decoding method is proposed by using …
WebIn this work we propose a variational model that accurately models the behaviour of event cameras, enabling reconstruction of intensity images with arbitrary frame rate in real … WebRecent research has shown that deep learning methods can be used to accurately reconstruct random superquadrics from both 3D point cloud data and simple depth images. In this paper, we extended these reconstruction methods to intensity and color images. Specifically, we used a dedicated convolutional neural network (CNN) model to …
WebIn this work we propose a variational model that accurately models the behaviour of event cameras, enabling reconstruction of intensity images with arbitrary frame rate in real-time. Our method is formulated on a per-event-basis, where we explicitly incorporate information about the asynchronous nature of events via an event manifold induced by ...
WebJul 16, 2024 · To recover high-quality intensity images, one should address both denoising and super-resolution problems for event cameras. Since events depict brightness changes, with the enhanced degeneration model by the events, the clear and sharp high-resolution latent images can be recovered from the noisy, blurry and low-resolution intensity … pyinmana historyWebNov 1, 2024 · Conventional cameras typically acquire intensity image frames at fixed time-intervals, generating temporally-sparse, low-dynamic-range image sequences. Fusing image frames with the output of event cameras offers the opportunity to create an image state infused with high-temporal-resolution, high-dynamic-range properties of event cameras. pyinotify模块安装WebThe network model is capable of reconstructing high-resolution (HR) intensity images using event streams and active sensor pixel (APS) frame information. We design the coupled … pyinmana