Results 1 to 10 of about 483,409 (267)
CSNet: Cascade stereo matching network using multi‐information cost volume
IET Intelligent Transport Systems, 2021 The disparity map produced by matching a pair of rectified stereo images provides estimated depth information and accurate distance calculations for autonomous driving.
XiaoTao Shao +4 more
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Image Processing Techniques and Neuro-computing Algorithms in Computer Vision
Advances in Networks, 2021 Computer vision is a multidisciplinary field that cannot be separated with image processing techniques and Neuro-Computing specifically Deep Learning (DL) algorithms, in recent time DL techniques enable computer vision to understand the content of an image, moreover, it is working hand in hand with image processing techniques because image ...
Ibrahim Goni +2 more
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Image stitching method by multi‐feature constrained alignment and colour adjustment
IET Image Processing, 2021 Image alignment and colour consistency are two challenging tasks for image stitching. Traditional point correspondence methods are difficult to achieve good alignments due to their insufficiency and unreliability.
Xingsheng Yuan +4 more
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MPI: Multi‐receptive and parallel integration for salient object detection
IET Image Processing, 2021 The semantic representation of deep features is essential for image context understanding, and effective fusion of features with different semantic representations can significantly improve the model's performance on salient object detection.
Han Sun +4 more
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Sparse representation for face recognition: A review paper
IET Image Processing, 2021 With the increasing use of surveillance cameras, face recognition is being studied by many researchers for security purposes. Although high accuracy has been achieved for frontal faces, the existing methods have shown poor performance for occluded and ...
Jitendra Madarkar +2 more
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IET Image Processing, 2021 Automatic facial expression recognition, which has many applications such as drivers, patients, and criminals' emotions recognition, is a challenging task.
Maede Sharifnejad +3 more
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IET Image Processing, 2021 In stereoscopic image quality assessment, human visual system has been universally taken into account to detect perceptual characteristics. A novel full‐reference stereoscopic image assessment metric by considering both monocular and binocular visual ...
Jianwei Si +4 more
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Multi‐view facial action unit detection via deep feature enhancement
Electronics Letters, 2021 Multi‐view facial action unit (AU) analysis has been a challenging research topic due to multiple disturbing variables, including subject identity biases, variational facial action unit intensities, facial occlusions and non‐frontal head‐poses.
Chuangao Tang +4 more
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IET Image Processing, 2021 Detecting human behaviours in images of crowded classroom scenes is a challenging task, due to the large variations of humans in scale and pose perspective. In this paper, two modules are proposed to tackle these two variations. First, an attention‐based
Mingyu Liu +4 more
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Selective focus saliency model driven by object class‐awareness
IET Image Processing, 2021 Current many salient object detection (SOD) models only focus on highlighting visual conspicuous region but fail to make saliency detection for specific targets. In this paper, a selective focus saliency model driven by object class‐awareness (SF‐OCA) to
Danpei Zhao +3 more
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