Separating reflective and fluorescent components for dynamic scenes
Sign Up to like & getrecommendations! Published in 2017 at "Optics Communications"
DOI: 10.1016/j.optcom.2017.05.075
Abstract: Abstract Separating reflective and fluorescent components by hyperspectral (HS) imaging is significant in many applications. This paper designs an imaging system, where both HS reflective images and HS fluorescent images could be obtained from the… read more here.
Keywords: reflective fluorescent; system; fluorescent components; components dynamic ... See more keywords
High Dynamic Range Imaging for Dynamic Scenes With Large-Scale Motions and Severe Saturation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3144205
Abstract: Two key challenges exist in high dynamic range (HDR) imaging from multiexposure low dynamic range (LDR) images for dynamic scenes: 1) aligning the input images with large-scale foreground motions and 2) recovering large saturated regions… read more here.
Keywords: dynamic range; saturation; high dynamic; large scale ... See more keywords
Robust 3D Reconstruction of Dynamic Scenes From Single-Photon Lidar Using Beta-Divergences
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2020.3046882
Abstract: In this article, we present a new algorithm for fast, online 3D reconstruction of dynamic scenes using times of arrival of photons recorded by single-photon detector arrays. One of the main challenges in 3D imaging… read more here.
Keywords: reconstruction; photon lidar; single photon; dynamic scenes ... See more keywords
Dense Pixel-Level Interpretation of Dynamic Scenes With Video Panoptic Segmentation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3183440
Abstract: A holistic understanding of dynamic scenes is of fundamental importance in real-world computer vision problems such as autonomous driving, augmented reality and spatio-temporal reasoning. In this paper, we propose a new computer vision benchmark: Video… read more here.
Keywords: video panoptic; pixel level; segmentation; panoptic segmentation ... See more keywords
Sparse Representations for Object- and Ego-Motion Estimations in Dynamic Scenes
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Neural Networks and Learning Systems"
DOI: 10.1109/tnnls.2020.3006467
Abstract: Disentangling the sources of visual motion in a dynamic scene during self-movement or ego motion is important for autonomous navigation and tracking. In the dynamic image segments of a video frame containing independently moving objects,… read more here.
Keywords: motion estimation; ego motion; object ego; dynamic scenes ... See more keywords
Deblurring Dynamic Scenes via Spatially Varying Recurrent Neural Networks.
Sign Up to like & getrecommendations! Published in 2021 at "IEEE transactions on pattern analysis and machine intelligence"
DOI: 10.1109/tpami.2021.3061604
Abstract: Deblurring images captured in dynamic scenes is challenging as the motion blurs are spatially varying caused by camera shakes and object movements. In this paper, we propose a spatially varying neural network to deblur dynamic… read more here.
Keywords: neural networks; recurrent neural; deblurring dynamic; scenes via ... See more keywords
Human Eye Movements After Viewpoint Shifts in Edited Dynamic Scenes are Under Cognitive Control
Sign Up to like & getrecommendations! Published in 2017 at "Advances in Cognitive Psychology"
DOI: 10.5709/acp-0213-y
Abstract: We tested whether viewers have cognitive control over their eye movements after cuts in videos of real-world scenes. In the critical conditions, scene cuts constituted panoramic view shifts: Half of the view following a cut… read more here.
Keywords: cognitive control; eye movements; control; scene ... See more keywords