Results 31 to 40 of about 19,173 (259)
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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Learning to Remove Soft Shadows [PDF]
ACM Transactions on Graphics, 2015 Manipulated images lose believability if the user's edits fail to account for shadows. We propose a method that makes removal and editing of soft shadows easy. Soft shadows are ubiquitous, but remain notoriously difficult to extract and manipulate. We posit that soft shadows can be segmented, and therefore edited, by learning a mapping function for ...
Maciej Gryka +2 more
openaire +1 more source
Self-Supervised Shadow Removal
CoRR, 2020 10 pages, 4 figures, 6 ...
Florin-Alexandru Vasluianu +3 more
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CNSNet: A Cleanness-Navigated-Shadow Network for Shadow Removal
, 2023 Accepted in ECCVW ...
Qianhao Yu +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
Local Water-Filling Algorithm for Shadow Detection and Removal of Document Images
Sensors, 2020 Shadow detection and removal is an important task for digitized document applications. It is hard for many methods to distinguish shadow from printed text due to the high darkness similarity.
Bingshu Wang, C. L. Philip Chen
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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
Jeya Maria Jose Valanarasu +1 more
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A Computer Vision Sensor for Efficient Object Detection Under Varying Lighting Conditions
Advanced Intelligent Systems, 2021 Convolutional neural networks (CNNs) have attracted much attention in recent years due to their outstanding performance in image classification. However, changes in lighting conditions can corrupt image segmentation conducted by CNN, leading to false ...
Can Cuhadar +2 more
doaj +1 more source
Shadow Detection Based on Regions of Light Sources for Object Extraction in Nighttime Video
Sensors, 2017 Intelligent video surveillance systems detect pre-configured surveillance events through background modeling, foreground and object extraction, object tracking, and event detection.
Gil-beom Lee +4 more
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IEEE Access, 2023 Object detection with shadow removal is one of the challenging issues in computer vision. Dynamic shadow resembles a moving object’s properties, so separating this shadow from the object is a challenging task. This dynamic shadow if not eliminated,
Subhaluxmi Sahoo, Pradipta Kumar Nanda
doaj +1 more source