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Estimating the natural illumination conditions from a single outdoor image
Given a single outdoor image, we present a method for estimating the likely illumination
conditions of the scene. In particular, we compute the probability distribution over the sun …
conditions of the scene. In particular, we compute the probability distribution over the sun …
Shadow detection in very high spatial resolution aerial images: A comparative study
Automatic shadow detection is a very important pre-processing step for many remote
sensing applications, particularly for images acquired with high spatial resolution. In …
sensing applications, particularly for images acquired with high spatial resolution. In …
Detecting ground shadows in outdoor consumer photographs
Detecting shadows from images can significantly improve the performance of several vision
tasks such as object detection and tracking. Recent approaches have mainly used …
tasks such as object detection and tracking. Recent approaches have mainly used …
A decoupled multi-task network for shadow removal
Shadow removal, which aims to restore the illumination in shadow regions, is challenging
due to the diversity of shadows in terms of location, intensity, shape, and size. Different from …
due to the diversity of shadows in terms of location, intensity, shape, and size. Different from …
A shadow imaging bilinear model and three-branch residual network for shadow removal
The current shadow removal pipeline relies on the detected shadow masks, which have
limitations for penumbras and tiny shadows, and results in an excessively long pipeline. To …
limitations for penumbras and tiny shadows, and results in an excessively long pipeline. To …
Near real-time shadow detection and removal in aerial motion imagery application
This work presents a method to automatically detect and remove shadows in urban aerial
images and its application in an aerospace remote monitoring system requiring near real …
images and its application in an aerospace remote monitoring system requiring near real …
Automatic and accurate shadow detection using near-infrared information
We present a method to automatically detect shadows in a fast and accurate manner by
taking advantage of the inherent sensitivity of digital camera sensors to the near-infrared …
taking advantage of the inherent sensitivity of digital camera sensors to the near-infrared …
What characterizes a shadow boundary under the sun and sky?
Despite decades of study, robust shadow detection remains difficult, especially within a
single color image. We describe a new approach to detect shadow boundaries in images of …
single color image. We describe a new approach to detect shadow boundaries in images of …
Adaptive shadow detection using a blackbody radiator model
The application potential of remotely sensed optical imagery is boosted through the increase
in spatial resolution, and new analysis, interpretation, classification, and change detection …
in spatial resolution, and new analysis, interpretation, classification, and change detection …
New spectrum ratio properties and features for shadow detection
Successfully detecting shadows in still images is challenging yet has wide applications.
Shadow properties and features are very important for shadow detection and processing …
Shadow properties and features are very important for shadow detection and processing …