Results 21 to 30 of about 33,305 (299)

RenDetNet: Weakly-Supervised Shadow Detection with Shadow Caster Verification [PDF]

open access: yes
Existing shadow detection models struggle to differentiate dark image areas from shadows. In this paper, we tackle this issue by verifying that all detected shadows are real, i.e. they have paired shadow casters. We perform this step in a physically-accurate manner by differentiably re-rendering the scene and observing the changes stemming from carving
Nikolina Kubiak   +5 more
openaire   +3 more sources

Instance Shadow Detection [PDF]

open access: yes2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
Instance shadow detection is a brand new problem, aiming to find shadow instances paired with object instances. To approach it, we first prepare a new dataset called SOBA, named after Shadow-OBject Association, with 3,623 pairs of shadow and object instances in 1,000 photos, each with individual labeled masks.
Tianyu Wang 0003   +4 more
openaire   +2 more sources

SHADOW DETECTION FROM VERY HIGH RESOLUTON SATELLITE IMAGE USING GRABCUT SEGMENTATION AND RATIO-BAND ALGORITHMS [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2015
Very-High-Resolution (VHR) satellite imagery is a powerful source of data for detecting and extracting information about urban constructions. Shadow in the VHR satellite imageries provides vital information on urban construction forms, illumination ...
N. M. S. M. Kadhim   +2 more
doaj   +1 more source

Triple-cooperative Video Shadow Detection [PDF]

open access: yes2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
Shadow detection in a single image has received significant research interest in recent years. However, much fewer works have been explored in shadow detection over dynamic scenes. The bottleneck is the lack of a well-established dataset with high-quality annotations for video shadow detection.
Zhihao Chen 0004   +6 more
openaire   +2 more sources

A feed‐forward framework integrating saliency and geometry discrimination for shadow detection in SAR images

open access: yesIET Radar, Sonar & Navigation, 2022
Shadow has been increasingly a kind of significant aid information for object extraction and scene interpretation in synthetic aperture radar images, which makes SAR shadow detection an important issue.
Haixiang Li   +4 more
doaj   +1 more source

Automatic Shadow Detection for Multispectral Satellite Remote Sensing Images in Invariant Color Spaces

open access: yesApplied Sciences, 2020
Shadow often results in difficulties for subsequent image applications of multispectral satellite remote sensing images, like object recognition and change detection.
Hongyin Han   +5 more
doaj   +1 more source

Top-down Dynamic Shadow Detection and Tracking Based on Kalman Filtering [PDF]

open access: yesJisuanji 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

Mask R-CNN for Moving Shadow Detection and Segmentation [PDF]

open access: yesIJCI International Journal of Computers and Information, 2021
One of the primary tasks of completing and developing many computer vision applications is to identify and remove shadow regions. Most existing moving shadow detection methods depend on extracting hand-crafted features of object and shadow regions ...
Khalid Amin, Ahmed Hamad, Hend Bakr
doaj   +1 more source

Fine-Context Shadow Detection using Shadow Removal

open access: yes2023 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
openaire   +2 more sources

An Approach for Shadow Detection in Aerial Images Based on Multi-Channel Statistics

open access: yesIEEE Access, 2021
Shadows are likely to cause flaws in color interpretation, loss of image information or deformation of objects; this is a relevant issue owing to the fact that with the development of unmanned aerial vehicles and satellite devices, object detection by ...
Gilberto Alvarado-Robles   +3 more
doaj   +1 more source

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