Results 21 to 30 of about 19,173 (259)
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 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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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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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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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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Shadow Removal in Vehicle Detection Using ResUNet-a [PDF]
Iranica Journal of Energy and Environment, 2023 In traffic monitoring for video analysis systems, vehicle shadows have a negative effect on their performance. Shadow detection and removal are essential steps in accurate vehicle detection.
Z. Dorrani, H. Farsi, S. Mohamadzadeh
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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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REMOVING SHADOWS FROM HIGH-RESOLUTION URBAN AERIAL IMAGES BASED ON COLOR CONSTANCY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 A method is explored to remove tall building shadows in true color and color infrared urban aerial images based on the theory of color constancy. This paper first uses the specthem ratio and Otsu threshold segmentation methods to detect building shadows ...
Q. Ye, H. Xie, Q. Xu
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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
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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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