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Shadow Removal for Foreground Segmentation

2006
Removing shadows casted by moving foreground objects in a scene is a critical problem for many vision-based applications. We propose two algorithms that examine color/texture invariants, and exploit spatial-temporal consistency to detect shadows efficiently and reliably.
Kuo-Hua Lo, Mau-Tsuen Yang, Rong-Yu Lin
openaire   +2 more sources

Shadow Removal in Gradient Domain

2005
Shadow removal is of significance in computer vision. Shadow usually adheres to texture, and it is difficult to decouple shadow from texture without any assumptions. In this paper, we suppose that the texture beneath shadow should bear the similar patterns, which makes the problem of simultaneously recovering the reflectance and light attenuation ...
Zhenlong Du   +3 more
openaire   +1 more source

Shadow Removal Using Bilateral Filtering

IEEE Transactions on Image Processing, 2012
In this paper, we propose a simple but effective shadow removal method using a single input image. We first derive a 2-D intrinsic image from a single RGB camera image based solely on colors, particularly chromaticity. We next present a method to recover a 3-D intrinsic image based on bilateral filtering and the 2-D intrinsic image.
Qingxiong Yang   +2 more
openaire   +2 more sources

Object's Shadow Removal with Removal Validation

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. We assume that the foreground figures have been extracted from the input image by some background subtraction method.
Syed Abu Bakar, Syed Abdul Rahman   +2 more
openaire   +2 more sources

Accelerated Shadow Detection and Removal Method

2019 IEEE/ACS 16th International Conference on Computer Systems and Applications (AICCSA), 2019
Shadows can have a negative effect on the ability of computer vision techniques for object detection, tracking, and recognition. Therefore, ability to remove shadows and byproducts of illumination is an important problem to enable effective object recognition actions. As applications move into levels of higher information extraction and higher required
Edward Richter   +5 more
openaire   +1 more source

Moving Shadow Removal Based on ILT

2008 International Conference on Cyberworlds, 2008
Moving shadows cause serious problem while segmenting and extracting foreground from video sequences, due to the misclassification of moving shadow as foreground. In order to detect the moving objects accurately, this paper proposes to remove the moving shadows based on the similarity between little textured patches.
Yuanyuan Hu, Rangding Wang
openaire   +1 more source

Shadow removal from natural images

Proceedings of 2010 IEEE International Symposium on Circuits and Systems, 2010
In this paper, we present a system for estimating the shadow field from a single natural image. The user of our system is provided with a broad brush to roughly specify the shadow boundary. As the user finishes drawing a stroke, the system starts to estimate the shadow field around the stroke and generates pretty accurate result even if the underlying ...
Ya-Fan Su, Homer H. Chen
openaire   +2 more sources

Shadow Removal by a Lightness-Guided Network With Training on Unpaired Data

IEEE Transactions on Image Processing, 2021
Yang Mi, Mengyang Pu, Hui Yin
exaly  

A Boundary-Aware Network for Shadow Removal

IEEE Transactions on Multimedia, 2023
Guanyu Xing, Enhua Wu, Yanli Liu
exaly  

Style-Guided Shadow Removal

2022
Jin Wan   +5 more
openaire   +1 more source

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