Results 11 to 20 of about 479,431 (286)

A Novel approach for Graphical User Interface development and real time Object and Face Tracking using Image Processing and Computer Vision Techniques implemented in MATLAB

open access: bronzeIOSR Journal of Computer Engineering, 2013
Image Processing is an advancement in the Signal processing domain where the input is an image or video and output can be image, video or in any other forms. With daily advances in Human-Computer interaction, Image Processing, along with computer vision has become an integral part of any intelligent system.
Satyajit Mahanta
openaire   +2 more sources

CSNet: Cascade stereo matching network using multi‐information cost volume

open access: yesIET 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
doaj   +1 more source

Image stitching method by multi‐feature constrained alignment and colour adjustment

open access: yesIET 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
doaj   +1 more source

MPI: Multi‐receptive and parallel integration for salient object detection

open access: yesIET 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
doaj   +1 more source

Hyperspectral face recognition with a spatial information fusion for local dynamic texture patterns and collaborative representation classifier

open access: yesIET Image Processing, 2021
Hyperspectral face recognition provides improved classification rates due to its abundant information in the face cubes of every subject in hyperspectral face databases. However, while offering excellent opportunities, it also brings new challenges, such
Min Hao, Guangyuan Liu, Desheng Xie
doaj   +1 more source

Sparse representation for face recognition: A review paper

open access: yesIET 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
doaj   +1 more source

Facial expression recognition using a combination of enhanced local binary pattern and pyramid histogram of oriented gradients features extraction

open access: yesIET 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
doaj   +1 more source

A full‐reference stereoscopic image quality assessment index based on stable aggregation of monocular and binocular visual features

open access: yesIET 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
doaj   +1 more source

Multi‐view facial action unit detection via deep feature enhancement

open access: yesElectronics 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
doaj   +1 more source

Behaviour detection in crowded classroom scenes via enhancing features robust to scale and perspective variations

open access: yesIET 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
doaj   +1 more source

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