Results 21 to 30 of about 205,992 (289)
UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
IEEE Access, 2023 Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
doaj +1 more source
Interactive removal and ground truth for difficult shadow scenes [PDF]
, 2016 A user-centric method for fast, interactive, robust, and high-quality shadow removal is presented. Our algorithm can perform detection and removal in a range of difficult cases, such as highly textured and colored shadows. To perform detection, an on-the-
Arbel +14 more
core +2 more sources
User-Assisted Image Shadow Removal [PDF]
, 2017 This paper presents a novel user-aided method for texture-preserving shadow removal from single images requiring simple user input. Compared with the state-of-the-art, our algorithm offers the most flexible user interaction to date and produces more ...
Cosker, Darren, Gong, Han
core +2 more sources
, 2006 In this paper we demonstrate how to recover surface shape from single images of faces using shape-from-shading when shadows are present. We make use of a statistical representation of the distribution of surface normal directions based on the equidistant azimuthal projection.
William A. P. Smith, Edwin R. Hancock
openaire +1 more source
Moving shadow detection and removal – a wavelet transform based approach
IET Computer Vision, 2014 Shadow detection and removal is an important problem in computer vision. The real challenge in moving shadow detection and removal is to classify moving shadow points which are many times misclassified as moving object points in a video sequences ...
Manish Khare +2 more
doaj +1 more source
Channel Attention GAN Trained With Enhanced Dataset for Single-Image Shadow Removal
IEEE Access, 2022 Even today, where many deep-learning-based methods have been published, single-image shadow removal is a challenging task to achieve high accuracy. This is because the shadow changes depending on various conditions such as the target material or the ...
Ryo Abiko, Masaaki Ikehara
doaj +1 more source
Shadow Removal by High-Quality Shadow Synthesis
, 2022 Most shadow removal methods rely on the invasion of training images associated with laborious and lavish shadow region annotations, leading to the increasing popularity of shadow image synthesis. However, the poor performance also stems from these synthesized images since they are often shadow-inauthentic and details-impaired. In this paper, we present
Zhong, Yunshan +5 more
openaire +2 more sources
Seagrass Posidonia oceanica (L.) Delile as a marine biomarker: A metabolomic and toxicological analysis [PDF]
, 2018 A human-made environmental disaster due to the shipwrecked of Costa Concordia cruise vessel on the Tuscan Island of Giglio (Italy) coast and the possible pollutants release has been feared, so requiring the activation of removal operations and the ...
Agostini +39 more
core +1 more source
CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal
, 2023 Accepted in ECCVW ...
Yu, Qianhao +3 more
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Single image shadow removal by optimization using non-shadow anchor values
Computational Visual Media, 2019 Shadow removal has evolved as a pre-processing step for various computer vision tasks. Several studies have been carried out over the past two decades to eliminate shadows from videos and images. Accurate shadow detection is an open problem because it is
Saritha Murali +2 more
doaj +1 more source