Results 11 to 20 of about 205,992 (289)
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 ...
Le, Hieu, Samaras, Dimitris
openaire +2 more sources
Structure-Informed Shadow Removal Networks
IEEE Transactions on Image Processing, 2023 IEEE ...
Yuhao Liu +7 more
openaire +3 more sources
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
doaj +1 more source
From Shadow Segmentation to Shadow Removal [PDF]
, 2020 Accepted at ECCV 2020. All code, trained models, and data are available (soon) at: https://www3.cs.stonybrook.
Le, Hieu, Samaras, Dimitris
openaire +2 more sources
Fine-Context Shadow Detection using Shadow Removal
2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023 Current shadow detection methods perform poorly when detecting shadow regions that are small, unclear or have blurry edges. In this work, we attempt to address this problem on two fronts. First, we propose a Fine Context-aware Shadow Detection Network (FCSD-Net), where we constraint the receptive field size and focus on low-level features to learn fine
Valanarasu, Jeya Maria Jose +1 more
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source
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
openaire +2 more sources
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
doaj +1 more source
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
doaj +1 more source