Research on the effect of image size on real-time performance of robot vision positioningSpringer Science and Business Media LLC - Tập 2018 - Trang 1-11 - 2018
Desheng Lyu, Heyang Xia, Chen Wang
In order to improve the real-time performance of visual positioning of the indoor mobile robot, the researchers found that the shape and size of the positioned image have a great influence on the real-time performance of the positioning calculation. In order to verify the conclusion and find the appropriate image shape and size to meet the robot’s visual positioning requirements, this paper adopts...... hiện toàn bộ
Image analysis using new set of separable two-dimensional discrete orthogonal moments based on Racah polynomialsSpringer Science and Business Media LLC - Tập 2017 - Trang 1-17 - 2017
Imad Batioua, Rachid Benouini, Khalid Zenkouar, Hakim El Fadili
In this paper, we propose three new separable two-dimensional discrete orthogonal moments baptized: RTM (Racah-Tchebichef moments), RKM (Racah-Krawtchouk moments), and RdHM (Racah-dual Hahn moments). We present a comparative study between our proposed separable two-dimensional discrete orthogonal moments and the classical ones, in terms of gray-level image reconstruction accuracy, including noisy ...... hiện toàn bộ
Real-time CUDA-based stereo matching using Cyclops2 algorithmSpringer Science and Business Media LLC - Tập 2018 - Trang 1-15 - 2018
Arnas Ivanavičius, Henrikas Simonavičius, Julius Gelšvartas, Andrius Lauraitis, Rytis Maskeliūnas, Piotras Cimmperman, Paulius Serafinavičius
This paper presents a novel stereo matching algorithm Cyclops2. The algorithm produces a disparity image, provided two rectified grayscale images. The matching is based on the concept of minimising a weight function calculated using the absolute difference of pixel intensities. We present three simple and easily parallelizable weight functions. Each presented function gives a different trade-off b...... hiện toàn bộ
Improved CT algorithm based on target block division and feature points matchingSpringer Science and Business Media LLC - Tập 2018 - Trang 1-14 - 2018
Wenhao Wang, Mingxin Jiang, Yunyang Yan, Xiaobing Chen, Wendong Zhao
For compressive tracking (CT) algorithm, it is vulnerable to the occlusion, when tracking targets. An improved CT algorithm based on target division and feature point matching is proposed in this paper, which can determine different target tracking states by the method of target division. When the target is in normal tracking or partial occlusion, the target is located accurately by the sub-block ...... hiện toàn bộ
Segmentation-free optical character recognition for printed Urdu textSpringer Science and Business Media LLC - Tập 2017 - Trang 1-18 - 2017
Israr Ud Din, Imran Siddiqi, Shehzad Khalid, Tahir Azam
This paper presents a segmentation-free optical character recognition system for printed Urdu Nastaliq font using ligatures as units of recognition. The proposed technique relies on statistical features and employs Hidden Markov Models for classification. A total of 1525 unique high-frequency Urdu ligatures from the standard Urdu Printed Text Images (UPTI) database are considered in our study. Lig...... hiện toàn bộ
Pansharpening based on convolutional autoencoder and multi-scale guided filterSpringer Science and Business Media LLC - Tập 2021 - Trang 1-20 - 2021
Ahmad AL Smadi, Shuyuan Yang, Zhang Kai, Atif Mehmood, Min Wang, Ala Alsanabani
In this paper, we propose a pansharpening method based on a convolutional autoencoder. The convolutional autoencoder is a sort of convolutional neural network (CNN) and objective to scale down the input dimension and typify image features with high exactness. First, the autoencoder network is trained to reduce the difference between the degraded panchromatic image patches and reconstruction output...... hiện toàn bộ
The use of hidden Markov models to verify the identity based on facial asymmetrySpringer Science and Business Media LLC - Tập 2017 - Trang 1-14 - 2017
Mariusz Kubanek, Janusz Bobulski
This work concerns the use of biometric features, resulting from the look of a face, for the verification purposes. Different methods of selection and feature analysis during face recognition are presented here. The description contains mainly analysis possibilities and also identity verification based on asymmetric facial features—in later stages. The new verification method has been introduced b...... hiện toàn bộ
A packet-layer video quality assessment model with spatiotemporal complexity estimationSpringer Science and Business Media LLC - Tập 2011 - Trang 1-13 - 2011
Ning Liao, Zhibo Chen
A packet-layer video quality assessment (VQA) model is a lightweight model that predicts the video quality impacted by network conditions and coding configuration for application scenarios such as video system planning and in-service video quality monitoring. It is under standardization in ITU-T Study Group (SG) 12. In this article, we first differentiate the requirements for VQA model from the tw...... hiện toàn bộ
Quantization-based image authentication scheme using QR error correctionSpringer Science and Business Media LLC - Tập 2017 - Trang 1-12 - 2017
Wen-Chuan Wu
Image authentication, which is provided with capabilities of tamper detection and data recovery, is an efficient way to protect the contents of digital images. Vector quantization (VQ) is a data compression method. A VQ-compressed code is not only a significant image authentication feature but also applicable in restoring possibly damaged pixels. However, if an image is tampered with, the necessar...... hiện toàn bộ