Results 31 to 40 of about 4,979,837 (328)
Top-down Dynamic Shadow Detection and Tracking Based on Kalman Filtering [PDF]
Jisuanji gongcheng, 2017 As most shadow detection methods are limited by penumbral shadows and cannot process umbra shadow well,a top-down dynamic shadow detection and tracking method based on Kalman Filtering(KF) is proposed.Firstly,contour information of the target is obtained
ZHANG Zhengben,CAI Pengfei,SUN Ting
doaj +1 more source
Data augmentation and shadow image classification for shadow detection [PDF]
IET Image Processing, 2021 Abstract Shadow detection is an important branch of computer vision. Recently, convolutional neural network (CNN)‐based methods for shadow detection have achieved better performance than methods based on manually designed features. However, CNNs are extremely hungry for data and the training of CNN‐based shadow detector requires time ...
Guoquan Li +4 more
openaire +3 more sources
Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal [PDF]
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2017 Understanding shadows from a single image consists of two types of task in previous studies, containing shadow detection and shadow removal. In this paper, we present a multi-task perspective, which is not embraced by any existing work, to jointly learn ...
Jifeng Wang, Xiang Li, Le Hui, Jian Yang
semanticscholar +1 more source
Shadow detection from images using fuzzy logic and PCPerturNet
IET Image Processing, 2021 Shadow detection is a challenging and essential task for interpreting the scene. Regardless of encouraging findings from current Deep Learning (DL) approaches used for shadow detection, the methods are also dealing with inconsistent situations where the ...
Jyotismita Chaki
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Moving Target Shadow Analysis and Detection for ViSAR Imagery
Remote Sensing, 2021 The video synthetic aperture radar (ViSAR) is a new application in radar techniques. ViSAR provides high- or moderate-resolution SAR images with a faster frame rate, which permits the detection of the dynamic changes in the interested area.
Zhihua He +5 more
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Building Shadow Detection on Ghost Images
Remote Sensing, 2020 Although many efforts have been made on building shadow detection from aerial images, little research on simultaneous shadows detection on both building roofs and grounds has been presented. Hence, this paper proposes a new method for simultaneous shadow
Guoqing Zhou, Hongjun Sha
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A NEW CLOUD SHADOW DETECTION ALGORITHM BASED ON PRIOR LAND TYPE DATABASE SUPPORT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Cloud shadow detection is one of the basic step for remote sensing image processing. The threshold method is commonly used currently because of its easy implementation and good accuracy. Aiming at the problems that common threshold settings are difficult
X. Y. Zhou, L. Sun
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Insignificant shadow detection for video segmentation [PDF]
, 2005 To prevent moving cast shadows from being misunderstood as part of moving objects in change detection based video segmentation, this paper proposes a novel approach to the cast shadow detection based on the edge and region information in multiple frames.
Dong Xu +6 more
core +2 more sources
Terrestrial Hyperspectral Image Shadow Restoration through Lidar Fusion
Remote Sensing, 2017 Acquisition of hyperspectral imagery (HSI) from cameras mounted on terrestrial platforms is a relatively recent development that enables spectral analysis of dominantly vertical structures.
Preston Hartzell +2 more
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Journal of King Saud University: Computer and Information Sciences, 2023 Recent shadow detectors excel on simple datasets but encounter difficulties with facial shadow images under complex lighting due to the lack of annotated shadow masks, varying shadow sizes, and imbalances between the target and background.
Hongliang Zhou, Jizheng Yi
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