Papers Detecting Shadows
“Detecting Shadows” 태그가 달린 논문 7편 · 필터 해제
CPNet: A Context Preserver Convolutional Neural Network for Detecting Shadows in Single RGB Images
Automatic detection of shadow regions in an image is a difficult task due to the lack of prior information about the illumination source and the dynamic of the scene objects. To address this problem, in this paper, a dee…
Detecting ShadowsA Reflectance Based Method For Shadow Detection and Removal
Shadows are common aspect of images and when left undetected can hinder scene understanding and visual processing. We propose a simple yet effective approach based on reflectance to detect shadows from single image. An i…
Detecting ShadowsScene UnderstandingShadow DetectionShadow Detection And RemovalDirection-aware Spatial Context Features for Shadow Detection
Shadow detection is a fundamental and challenging task, since it requires an understanding of global image semantics and there are various backgrounds around shadows. This paper presents a novel network for shadow detect…
Detecting ShadowsShadow DetectionA+D Net: Training a Shadow Detector with Adversarial Shadow Attenuation
We propose a novel GAN-based framework for detecting shadows in images, in which a shadow detection network (D-Net) is trained together with a shadow attenuation network (A-Net) that generates adversarial training exampl…
Detecting ShadowsShadow DetectionNoisy Label Recovery for Shadow Detection in Unfamiliar Domains
Recent shadow detection algorithms have shown initial success on small datasets of images from specific domains. However, shadow detection on broader image domains is still challenging due to the lack of annotated train…
Detecting ShadowsShadow DetectionRadar shadow detection in SAR images using DEM and projections
Synthetic aperture radar (SAR) images are widely used in target recognition tasks nowadays. In this letter, we propose an automatic approach for radar shadow detection and extraction from SAR images utilizing geometric p…
Detecting ShadowsShadow DetectionAn Adaptive GMM Approach to Background Subtraction for Application in Real Time Surveillance
Efficient security management has become an important parameter in todays world. As the problem is growing, there is an urgent need for the introduction of advanced technology and equipment to improve the state-of art of…
Detecting ShadowsManagement