Results 291 to 300 of about 4,979,837 (328)

Strong shadow removal via patch-based shadow edge detection

2012 IEEE International Conference on Robotics and Automation, 2012
Detecting objects in shadows is a challenging task in computer vision. For example, in clear path detection application, strong shadows on the road confound the detection of the boundary between clear path and obstacles, making clear path detection algorithms less robust.
Qi Wu, Wende Zhang, B.V.K. Vijaya Kumar
openaire   +1 more source

Shadow detection and removal using a shadow formation model

2016 IEEE First International Conference on Data Stream Mining & Processing (DSMP), 2016
This 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, Volodymyr V. Hnatushenko   +1 more
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Kinect Shadow Detection and Classification

2013 IEEE International Conference on Computer Vision Workshops, 2013
Kinect depth maps often contain missing data, or "holes", for various reasons. Most existing Kinect-related research treat these holes as artifacts and try to minimize them as much as possible. In this paper, we advocate a totally different idea - turning Kinect holes into useful information. In particular, we are interested in the unique type of holes
Teng Deng, Hui Li, Jianfei Cai, Tat-Jen Cham, Henry Fuchs   +4 more
openaire   +1 more source

Exploring better sparsely annotated shadow detection

Neural Networks
Sparsely annotated image segmentation has attracted increasing attention due to its low labeling cost. However, existing weakly-supervised shadow detection methods require complex training procedures, and there is still a significant performance gap compared to fully-supervised methods. This paper summarizes two current challenges in sparsely annotated
Kai, Zhou, Jinglong, Fang, Dan, Wei, Wen, Wu, Rui, Hu   +4 more
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Detecting photographic composites using shadows

2009 IEEE International Conference on Multimedia and Expo, 2009
Image compositing technology has become popular for tampering with digital photographies. We describe how such composites can be detected by enforcing the geometric and photometric constraints from shadows. In particular, we explore (i) the imaged shadow relations that are modeled by the planar homology, and (ii) the color characteristics of the ...
null Wei Zhang, null Xiaochun Cao, null Jiawan Zhang, null Jigui Zhu, null Ping Wang   +4 more
openaire   +1 more source

Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks

Remote Sensing of Environment, 2019
This paper formulates cloud and cloud shadow detection as a semantic segmentation problem and proposes a deep convolutional neural network (CNN) based method to detect them in Landsat imagery. Different from traditional machine learning methods, deep CNN-
Dengfeng Chai, Dengfeng Chai, S. Newsam, Hankui K. Zhang, Yifan Qiu, Jingfeng Huang   +5 more
semanticscholar   +1 more source

Feature Analysis for Shadow Detection

Applied Mechanics and Materials, 2011
In minimally invasive surgery (MIS), depth estimation is also one of the most essential challenges. With the urgent demands of improving surgical safety, a method of improving the surgeon’s perception of depth by introducing an “invisible shadow” in the operative field has been proposed.
Xiao Peng Hu, Wan Huang, Guo Min Shi
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Revisiting Shadow Detection: A New Benchmark Dataset for Complex World

IEEE Transactions on Image Processing, 2019
Shadow detection in general photos is a nontrivial problem, due to the complexity of the real world. Though recent shadow detectors have already achieved remarkable performance on various benchmark data, their performance is still limited for general ...
Xiaowei Hu, Tianyu Wang, Chi-Wing Fu, Yitong Jiang, Qiong Wang, P. Heng   +5 more
semanticscholar   +1 more source

Adaptive Moving Cast Shadow Detection

2012
Moving object detection is an important task in real-time video surveillance. However, in real scenario, moving cast shadows associated with moving objects may also be detected, making moving cast shadow detection a challenge for video surveillance. In this paper, we propose an adaptive shadow detection method based on the cast shadow model. The method
Guizhi Li, Lei Qin, Qingming Huang
openaire   +1 more source

Shadow of an Exoplanet Detected

Science, 1999
ASTRONOMYFor the first time, a planet in another star system has been seen to cross the face of its parent star. The transit, as it is called, is the most direct glimpse yet of an extrasolar planet. It has also allowed astronomers to pin down the object's mass, size, and density--characteristics that could only be guessed before--which leave little ...
openaire   +1 more source