Results 31 to 40 of about 19,217 (260)
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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Removing Shadows from Images [PDF]
, 2002 Illumination conditions cause problems for many computer vision algorithms. In particular, shadows in an image can cause segmentation, tracking, or recognition algorithms to fail. In this paper we propose a method to process a 3-band colour image to locate, and subsequently remove shadows.
Finlayson, Graham D. +2 more
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Shadow Removal for Enhanced Nighttime Driving Scene Generation
Applied SciencesAutonomous vehicles depend on robust vision systems capable of performing under diverse lighting conditions, yet existing models often exhibit substantial performance degradation when applied to nighttime scenarios after being trained exclusively on ...
Heejun Yang, Oh-Hyeon Choung, Yuseok Ban
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deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information SciencesShadows cast by terrain and tall structures remain a major obstacle for high-resolution satellite image analysis, degrading classification, detection, and 3D reconstruction performance.
L. Beltrame +9 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
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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
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Shadow removal using sparse representation over local dictionaries
Engineering Science and Technology, an International Journal, 2016 The presence of shadow in an image is a major problem associated with various visual processing applications such as object recognition, traffic surveillance and segmentation.
Remya K. Sasi, V.K. Govindan
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IEEE AccessThe presence of image shadows significantly impacts the practical applications of computer vision tasks in real-world environments. For example, image recognition, and image segmentation.
Lanfei Zhao, Qiye Wang
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The Astrophysical Journal Letters, 2023 It has been pointed out that the spurious cosmic microwave background (CMB) B -mode polarization signals caused by the absorption of the CMB monopole component due to the Galactic interstellar matter, called the CMB shadow, degrade the accuracy of ...
Tamaki Murokoshi +4 more
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Regional Attention For Shadow Removal
Proceedings of the 32nd ACM International Conference on MultimediaShadow, as a natural consequence of light interacting with objects, plays a crucial role in shaping the aesthetics of an image, which however also impairs the content visibility and overall visual quality. Recent shadow removal approaches employ the mechanism of attention, due to its effectiveness, as a key component.
Hengxing Liu +2 more
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