Results 221 to 230 of about 19,948 (258)
Some of the next articles are maybe not open access.
Domain adaptation for complex shadow removal with shadow transformer network
Neurocomputing, 2023Hyun Duck Choi, Myo-Taeg Lim
exaly +2 more sources
Computer Graphics Forum, 2022
AbstractShadow removal from a single image is an ill‐posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning‐based methods try to directly estimate the mapping between the non‐shadow and shadow image pairs to predict the shadow‐free image.
Yanping Fu +6 more
openaire +2 more sources
AbstractShadow removal from a single image is an ill‐posed problem because shadow generation is affected by the complex interactions of geometry, albedo, and illumination. Most recent deep learning‐based methods try to directly estimate the mapping between the non‐shadow and shadow image pairs to predict the shadow‐free image.
Yanping Fu +6 more
openaire +2 more sources
Pattern Recognition Letters, 2005
Shadows often confound algorithms designed to solve computer vision tasks such as image segmentation, object detection and tracking. In this paper, a shadow detection and removal technique is proposed. The method requires no camera calibration or other a priori information regarding the scene.
Martin D. Levine, Jisnu Bhattacharyya
openaire +2 more sources
Shadows often confound algorithms designed to solve computer vision tasks such as image segmentation, object detection and tracking. In this paper, a shadow detection and removal technique is proposed. The method requires no camera calibration or other a priori information regarding the scene.
Martin D. Levine, Jisnu Bhattacharyya
openaire +2 more sources
Shadow Removal Based on Shadow Direction and Shadow Attributes
2006 International Conference on Computational Inteligence for Modelling Control and Automation and International Conference on Intelligent Agents Web Technologies and International Commerce (CIMCA'06), 2006Moving shadow removal is critical for robust moving object tracking system. A shadow removal algorithm based on shadow attributes is presented in this paper. The direction of shadow is estimated first, and then shadow points are sampled based on the direction of shadow. At last the shadow attributes is calculated using the sampled shadow points.
Yinghua Lu +4 more
openaire +2 more sources
Quaternion-based image shadow removal
The Visual Computer, 2021Visual effects such as shadows and highlights appear in photographs due to variations in lighting conditions. Although these effects add more meaning to the images, they pose various problems to specific computer vision algorithms. Hence, the removal of shadows and highlights is often considered as a prerequisite to such algorithms. This paper presents
Saritha Murali +2 more
openaire +1 more source
Shadow Patching: Guided Image Completion for Shadow Removal
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019Removing unwanted shadows is a common need in photo editing software. Previous methods handle some shadows well but perform poorly in cases with severe degradation (darker shadowing) because they rely on directly restoring the degraded data in the shadowed region.
Ryan Hintze, Bryan S. Morse
openaire +2 more sources
Adaptive shadow estimator for removing shadow of moving object
Computer Vision and Image Understanding, 2010We propose an adaptive shadow estimator to detect and eliminate the shadow of a moving object while adapting to variation of illumination and the environment in an automatic manner. The proposed method discriminates between the shadow and the moving object by cascading three estimators which use the properties of chromaticity, brightness, and local ...
JinMin Choi +2 more
openaire +2 more sources
Shadows Removal by Edges Matching
2009Motion detection algorithms usually detect moving regions in a rough way; in some application contexts it could be mandatory to obtain the exact shape of such objects by removing cast shadows as well as ghosts and reflections due to variations in light conditions. To address this problem we propose an approach based on edge matching.
P Spagnolo, PL Mazzeo, M Leo, T DOrazio
openaire +4 more sources
Shadow detection and removal using a shadow formation model
2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016This work is devoted to shadow detection and removal from very high resolution (VHR) satellite images. As an example, a WorldView-2 satellite image of an urban area was processed. The presence of shadows can cause a loss of a significant part of useful information.
Yana I. Shedlovska +1 more
openaire +1 more source
The Shadow Meets the Mask: Pyramid‐Based Shadow Removal
Computer Graphics Forum, 2008AbstractIn this paper we propose a novel method for detecting and removing shadows from a single image thereby obtaining a high‐quality shadow‐free image. With minimal user assistance, we first identify shadowed and lit areas on the same surface in the scene using an illumination‐invariant distance measure.
Yael Shor, Dani Lischinski
openaire +2 more sources