Results 11 to 20 of about 19,217 (260)
Shadow Removal by High-Quality Shadow Synthesis
CoRR, 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
Yunshan Zhong +5 more
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On the removal of shadows from images [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2006 This paper is concerned with the derivation of a progression of shadow-free image representations. First, we show that adopting certain assumptions about lights and cameras leads to a 1D, gray-scale image representation which is illuminant invariant at each image pixel. We show that as a consequence, images represented in this form are shadow-free.
Finlayson, G. D. +3 more
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Shadow Removal in Indoor Scenes [PDF]
2008 IEEE Fifth International Conference on Advanced Video and Signal Based Surveillance, 2008 In this paper, we propose a shadow removal algorithm for indoor scenes. This algorithm uses three types of constraints: chromaticity consistency, texture consistency and range of shadow intensity. The chromaticity consistency is verified in both HSV and RGB color spaces.
Nghiem, Anh-Tuan +2 more
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Throwaway Shadows Using Parallel Encoders Generative Adversarial Network
Applied Sciences, 2022 Face photographs taken on a bright sunny day or in floodlight contain unnecessary shadows of objects on the face. Most previous works deal with removing shadow from scene images and struggle with doing so for facial images.
Kamran Javed +3 more
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Shadow Removal via Shadow Image Decomposition [PDF]
2019 IEEE/CVF International Conference on Computer Vision (ICCV), 2019 ICCV 19 Poster. Higher resolution version is available in the project homepage: www3.cs.stonybrook.edu/~cvl/projects/SID/index ...
Hieu Le 0001, Dimitris Samaras
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, 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
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Moving Shadow Removal Algorithm Based on Codebook Model [PDF]
Jisuanji gongcheng, 2017 The moving shadow will result in deformed or missing foreground targets,which affects the tracking and analyzing of the moving target foreground.To solve this problem,this paper designs a moving shadow removal algorithm by introducing codebook model.This
ZHONG Xiaofang,ZHOU Hao,GAO Zhishan,GAO Yun
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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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AUTOMATIC GENERATION OF DEM USING SVM CLASSIFIER [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 People are moving towards an automated strategy for building a Digital Elevation Model (DEM) from a high-resolution Google Earth photograph as technology advances. Manually terrestrial measurements are both time and money costly.
R. Dubey, S. Bharadwaj, S. Biswas
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Entropy Minimization for Shadow Removal [PDF]
International Journal of Computer Vision, 2009 Recently, a method for removing shadows from colour images was developed (Finlayson et al. in IEEE Trans. Pattern Anal. Mach. Intell. 28:59---68, 2006) that relies upon finding a special direction in a 2D chromaticity feature space. This "invariant direction" is that for which particular colour features, when projected into 1D, produce a greyscale ...
Finlayson, Graham D. +2 more
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