Results 241 to 250 of about 2,939,416 (298)
Multi-sensor-based rock glacier detection over Sikkim Himalaya. [PDF]
iScienceKumar A, Malviya A, Singh G.
europepmc +1 more source
A case of vitreoretinal PTLD after HSCT for aplastic anemia.
BloodZhang Y, Wang X.
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Tricolor Attenuation Model for Shadow Detection
IEEE Transactions on Image Processing, 2009 Shadows, the common phenomena in most outdoor scenes, bring many problems in image processing and computer vision. In this paper, we present a novel method focusing on extracting shadows from a single outdoor image. The proposed tricolor attenuation model (TAM) that describe the attenuation relationship between shadow and its nonshadow background is ...
Jiandong Tian, Jing Sun, Yandong Tang
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Paired Regions for Shadow Detection and Removal
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2013In this paper, we address the problem of shadow detection and removal from single images of natural scenes. Differently from traditional methods that explore pixel or edge information, we employ a region-based approach. In addition to considering individual regions separately, we predict relative illumination conditions between segmented regions from ...
Derek Hoiem
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Detecting shadow lobbying [PDF]
Social Network Analysis and Mining, 2022 Lobbying activity is subject to strict disclosure requirements in the USA. Failure to comply with these requirements can lead to criminal and civil penalties. It is claimed that these tight lobbying disclosure measures resulted in an increase in ‘underground lobbying’.
Ivan Slobozhan +2 more
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Shadow Detection via Predicting the Confidence Maps of Shadow Detection Methods
Proceedings of the 29th ACM International Conference on Multimedia, 2021Today's mainstream shadow detection methods are manually designed via a case-by-case approach. Accordingly, these methods may only be able to detect shadows for specific scenes. Given the complex and diverse shadow scenes in reality, none of the existing methods can provide a one-size-fits-all solution with satisfactory performance.
Jingwei Liao +5 more
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New spectrum ratio properties and features for shadow detection
Pattern Recognition, 2016 Successfully detecting shadows in still images is challenging yet has wide applications. Shadow properties and features are very important for shadow detection and processing.
Liangqiong Qu, Xiaojun Qi, Yandong Tang
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Shadow detection: A survey and comparative evaluation of recent methods
Pattern Recognition, 2012 This paper presents a survey and a comparative evaluation of recent techniques for moving cast shadow detection. We identify shadow removal as a critical step for improving object detection and tracking.
Brian Carrington Lovell, Andres Sanin
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Robust Shadow Detection by Exploring Effective Shadow Contexts
Proceedings of the 29th ACM International Conference on Multimedia, 2021Effective contexts for separating shadows from non-shadow objects can appear in different scales due to different object sizes. This paper introduces a new module, Effective-Context Augmentation (ECA), to utilize these contexts for robust shadow detection with deep structures.
Xianyong Fang +3 more
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