Results 1 to 10 of about 205,873 (172)
A differential correction based shadow removal method for real-time monitoring. [PDF]
PLoS ONE, 2023 Shadow removal is an important issue in the field of motion object surveillance and automatic control. Although many works are concentrated on this issue, the diverse and similar motion patterns between shadows and objects still severely affect the ...
Sheng Liu +4 more
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AP Shadow Net: A Remote Sensing Shadow Removal Network Based on Atmospheric Transport and Poisson’s Equation [PDF]
Entropy, 2022 Shadow is one of the fundamental indicators of remote sensing image which could cause loss or interference of the target data. As a result, the detection and removal of shadow has already been the hotspot of current study because of the complicated ...
Fan Li, Zhiyi Wang, Guoliang He
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Synthetic Document Images with Diverse Shadows for Deep Shadow Removal Networks [PDF]
SensorsShadow removal for document images is an essential task for digitized document applications. Recent shadow removal models have been trained on pairs of shadow images and shadow-free images.
Yuhi Matsuo, Yoshimitsu Aoki
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Object's shadow removal with removal validation [PDF]
2007 IEEE International Symposium on Signal Processing and Information Technology, 2007 We introduce in this paper, a shadow detection and removal method for moving objects especially for humans and vehicles. An effective method is presented for detecting and removing shadows from foreground figures.
As'ari, M. A. +2 more
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Physics-Based Shadow Image Decomposition for Shadow Removal [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 PAMI21 - Camera Ready Version.
Hieu Le, Dimitris Samaras
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From Shadow Generation to Shadow Removal [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Accepted by ...
Liu, Zhihao +5 more
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Shadow-Aware Dynamic Convolution for Shadow Removal
Pattern Recognition, 2023 With a wide range of shadows in many collected images, shadow removal has aroused increasing attention since uncontaminated images are of vital importance for many downstream multimedia tasks. Current methods consider the same convolution operations for both shadow and non-shadow regions while ignoring the large gap between the color mappings for the ...
Yimin Xu +4 more
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Learning From Synthetic Shadows for Shadow Detection and Removal [PDF]
IEEE Transactions on Circuits and Systems for Video Technology, 2021 Accepted to IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), v2: fixed ...
Naoto Inoue, Toshihiko Yamasaki
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Removing Shadows from Video [PDF]
International Journal of Machine Learning and Computing, 2017 This paper presents a novel approach to automatic shadow identification and removal from video input. Based on the observation that the length and position of a shadow changes linearly over a relatively long period in outdoor environments, due to the relative movement of the sun, we can distinguish a shadow from other dark regions in an input video ...
Brunel, SMJ, Li, Y, Liu, X
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Attentive Generative Adversarial Network with Dual Encoder-Decoder for Shadow Removal
Information, 2022 Shadow removal is a fundamental task that aims at restoring dark areas in an image where the light source is blocked by an opaque object, to improve the visibility of shadowed areas.
He Wang, Hua Zou, Dengyi Zhang
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