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Journal articles on the topic 'Optical flow constraint'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Clarysse, Patrick, Bertrand Delhay, Martine Picq, and Jérôme Pousin. "Optimal extended optical flow subject to a statistical constraint." Journal of Computational and Applied Mathematics 234, no. 4 (2010): 1291–302. http://dx.doi.org/10.1016/j.cam.2009.10.014.

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2

Ben-Tzvi, D., A. Del Bimbo, and P. Nesi. "Optical flow from constraint lines parametrization." Pattern Recognition 26, no. 10 (1993): 1549–61. http://dx.doi.org/10.1016/0031-3203(93)90160-x.

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3

Zhu, Bin, Zhaodong Wang, Lianfang Tian, Jinmei Guo, Lingjian Wang, and Jameel Bhutto. "An Improved Fractional-Order Variational Optical Flow Model Combining Structure Tensor." Mathematical Problems in Engineering 2021 (July 26, 2021): 1–10. http://dx.doi.org/10.1155/2021/9960784.

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Dealing with problems of illumination changes in optical flow estimation, an improved variational optical flow model is proposed in this paper. The local structure constancy constraint (LSCC) is applied in the data term of the traditional HS (Horn & Schunck) optical flow model to substitute the brightness constancy constraint. The fractional-order smoothness constraint (FSC) is applied in the smoothness term of the HS model. Then, the detailed calculation processes from the optical flow model to the optical flow value are explained. The structure tensor in LSCC is an image feature that is

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Jian, Shen, Chen Huan, Zuo Jianjian, and Pan Xuming. "Brain Nerve Fiber Tracking Algorithm Based on Improved Optical Flow in Combination of Bayesian Prior Constraints." Journal of Medical Imaging and Health Informatics 10, no. 2 (2020): 452–57. http://dx.doi.org/10.1166/jmihi.2020.2877.

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Diffusion Tensor Magnetic Resonance Imaging (DT-MRI) can track the brain nerve fiber and reconstruct non-invasively the three-dimensional image by tracing the local tensor orientation. The commonly used tracking method is usually based on the local diffusion information and insufficient to consider the geometrical structure and fractional anisotropy which is constrained by anatomical structure and physiological function of human. Therefore, a novel brain nerve fiber tracking algorithm based on Bayesian optical-flow constrained framework is proposed. The construction of energy function is the c

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Martín, José L., Aitzol Zuloaga, Carlos Cuadrado, Jesús Lázaro, and Unai Bidarte. "Hardware implementation of optical flow constraint equation using FPGAs." Computer Vision and Image Understanding 98, no. 3 (2005): 462–90. http://dx.doi.org/10.1016/j.cviu.2004.10.002.

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6

Li, Xiuxiu, Yanjuan Liu, Haiyan Jin, Jiangbin Zheng, and Lei Cai. "Automatic layered RGB‐D scene flow estimation with optical flow field constraint." IET Image Processing 14, no. 16 (2020): 4092–101. http://dx.doi.org/10.1049/iet-ipr.2020.0230.

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7

Zhu, Bin, Lianfang Tian, Qiliang Du, Qiuxia Wu, and Lixin Shi. "An Improved Fractional-Order Optical Flow Model for Motion Estimation." Mathematical Problems in Engineering 2018 (2018): 1–6. http://dx.doi.org/10.1155/2018/6278719.

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The Horn and Schunck (HS) optical flow model cannot preserve discontinuity of motion estimation and has low accuracy especially for the image sequence, which includes complex texture. To address this problem, an improved fractional-order optical flow model is proposed. In particular, the fractional-order Taylor series expansion is applied in the brightness constraint equation of the HS model. The fractional-order flow field derivative is also used in the smoothing constraint equation. The Euler-Lagrange equation is utilized for the minimization of the energy function of the fractional-order op

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8

Xiang, Xuezhi, Rongfang Zhang, Mingliang Zhai, Deguang Xiao, and Erwei Bai. "Scene Flow Estimation Based on Adaptive Anisotropic Total Variation Flow-Driven Method." Mathematical Problems in Engineering 2018 (2018): 1–10. http://dx.doi.org/10.1155/2018/4908273.

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Scene flow estimation based on disparity and optical flow is a challenging task. We present a novel method based on adaptive anisotropic total variation flow-driven method for scene flow estimation from a calibrated stereo image sequence. The basic idea is that diffusion of flow field in different directions has different rates, which can be used to calculate total variation and anisotropic diffusion automatically. Brightness consistency and gradient consistency constraint are employed to establish the data term, and adaptive anisotropic flow-driven penalty constraint is employed to establish

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9

Hosseinyalamdary, S., and A. Yilmaz. "Motion Vector Field Estimation Using Brightness Constancy Assumption and Epipolar Geometry Constraint." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-1 (November 7, 2014): 9–16. http://dx.doi.org/10.5194/isprsannals-ii-1-9-2014.

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In most Photogrammetry and computer vision tasks, finding the corresponding points among images is required. Among many, the Lucas-Kanade optical flow estimation has been employed for tracking interest points as well as motion vector field estimation. This paper uses the IMU measurements to reconstruct the epipolar geometry and it integrates the epipolar geometry constraint with the brightness constancy assumption in the Lucas-Kanade method. The proposed method has been tested using the KITTI dataset. The results show the improvement in motion vector field estimation in comparison to the Lucas

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Lan, Jinhui, Jian Li, Guangda Hu, Bin Ran, and Ling Wang. "Vehicle speed measurement based on gray constraint optical flow algorithm." Optik 125, no. 1 (2014): 289–95. http://dx.doi.org/10.1016/j.ijleo.2013.06.036.

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11

Rai, Ankush, and Jagadeesh Kanna R. "HYPERPROPERTIES-BASED OPTICAL FLOW-BASED AUTONOMOUS DRIVING SYSTEM." Asian Journal of Pharmaceutical and Clinical Research 10, no. 13 (2017): 254. http://dx.doi.org/10.22159/ajpcr.2017.v10s1.19652.

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This study presents an autonomous driving system based on the principles of trace vectors derived from hyperproperty of a modified optical flowalgorithm. This technique allows keeping track of the past motion vectors by tracking the constraint sets to overcome the non-linear attributes ofthe deformable feature points and motion vectors. The results presented in this work exhibits stable tracking and multi-step prediction in a limitednumber of steps with less training vectors.

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12

Doshi, Hirak, and Uday Kiran Nori. "A framework for fluid motion estimation using a constraint-based refinement approach." Machine Graphics and Vision 32, no. 3/4 (2023): 17–43. http://dx.doi.org/10.22630/mgv.2023.32.3.2.

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Physics-based optical flow models have been successful in capturing the deformities in fluid motion arising from digital imagery. However, a common theoretical framework analyzing several physics-based models is missing. In this regard, we formulate a general framework for fluid motion estimation using a constraint-based refinement approach. We demonstrate that for a particular choice of constraint, our results closely approximate the classical continuity equation-based method for fluid flow. This closeness is theoretically justified by augmented Lagrangian method in a novel way. The convergen

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13

Zhang, Peng, Shang Wang, Guangyao Zhou, Yueze Zheng, Kexin Li, and Luyan Ji. "Debris-Flow Erosion Volume Estimation Using a Single High-Resolution Optical Satellite Image." Remote Sensing 17, no. 14 (2025): 2413. https://doi.org/10.3390/rs17142413.

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Debris flows pose significant risks to mountainous regions, and quick, accurate volume estimation is crucial for hazard assessment and post-disaster response. Traditional volume estimation methods, such as ground surveys and aerial photogrammetry, are often limited by cost, accessibility, and timeliness. While remote sensing offers wide coverage, existing optical and Synthetic Aperture Radar (SAR)-based techniques face challenges in direct volume estimation due to resolution constraints and rapid terrain changes. This study proposes a Super-Resolution Shape from Shading (SRSFS) approach enhanc

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14

Waldmann, Jacques, Raul Ikeda Gomes da Silva, and Ronan Arraes Jardim Chagas. "Observability analysis of inertial navigation errors from optical flow subspace constraint." Information Sciences 327 (January 2016): 300–326. http://dx.doi.org/10.1016/j.ins.2015.08.017.

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15

Li, Kun, Na Qi, and Qing Zhu. "Fluid Simulation with an L0 Based Optical Flow Deformation." Applied Sciences 10, no. 18 (2020): 6351. http://dx.doi.org/10.3390/app10186351.

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Fluid simulation can be automatically interpolated by using data-driven fluid simulations based on a space-time deformation. In this paper, we propose a novel data-driven fluid simulation scheme with the L0 based optical flow deformation method by matching two fluid surfaces rather than the L2 regularization. The L0 gradient smooth regularization can result in prominent structure of the fluid in a sparsity-control manner, thus the misalignment of the deformation can be suppressed. We adopt the objective function using an alternating minimization with a half-quadratic splitting for solving the

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16

ZONGQING, LU, LIAO QINGMIN, and PEI JIHONG. "A NONLINEAR FILTERING BASED OPTICAL FLOW COMPUTATION." International Journal of Image and Graphics 09, no. 01 (2009): 121–32. http://dx.doi.org/10.1142/s0219467809003368.

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A novel optical flow estimation is proposed in this paper, which addresses some issues including the credible estimation of optical flow and the prevention of over-smoothing across motion boundaries. Our main contribution is that we estimated the optical flow by a nonlinear filtering process instead of an energy minimizing process, the latter often needs the corresponding smoothing constraint to be restricted to some form of convex and differentiable entity. In this way, it avoids some restrictions needed by the regularization. So we can choose a nonlinear filter from more flexible forms, whic

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17

Wang, Yan Ni. "A Local Optical Flow Constraint Target Extracting Algorithm of Kalman Filter Based on Background Modeling." Applied Mechanics and Materials 596 (July 2014): 316–21. http://dx.doi.org/10.4028/www.scientific.net/amm.596.316.

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Owing to the problems of inter frame difference method cannot extract the entire target and most optical flow algorithms with computational time, poor real-time performance, a local optical flow constraint target extracting algorithm of Kalman filter based on background modeling is proposed. Firstly use Kalman filter method based on background modeling predict and update the background, then make Lucas-Kanade local optical flow algorithm search the background changing region, finally determine the gray contour, extract target. Compared with the classical algorithms, the simulation results show

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18

Tao, Weiliang, Yan Liu, Zhimin Ma, and Wenbin Hu. "Two-Dimensional Flow Field Measurement Method for Sediment-Laden Flow Based on Optical Flow Algorithm." Applied Sciences 12, no. 5 (2022): 2720. http://dx.doi.org/10.3390/app12052720.

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This paper proposes a novel particle image velocimetry (PIV) technique to generate an instantaneous two-dimensional velocity field for sediment-laden fluid based on the optical flow algorithm of ultrasound imaging. In this paper, an ultrasonic PIV (UIV) system is constructed by integrating a medical ultrasound instrument and an ultrasonic particle image velocimetry algorithm. The medical ultrasound instrument with a phased sensor array is used to acquire acoustic echo signals of particles in water and generate two-dimensional underwater ultrasound images. Based on the optical flow field, the i

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19

LU, ZONGQING, WEIXIN XIE, and JIHONG PEI. "A ROBUST OPTICAL FLOW ESTIMATION UNDER VARYING ILLUMINATION." International Journal of Information Acquisition 02, no. 04 (2005): 303–13. http://dx.doi.org/10.1142/s0219878905000660.

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This paper proposes a new method for robust and accurate optical flow estimation. The robustness of the new method is the ability of weakening the disturbance of varying illumination and preserving motion boundaries. The significance of this work is twofold: In the first part the generalized dynamic image model (GDIM) is adopted based on gradient field to encourage robustness to non-uniform brightness variations; otherwise, a Bayesian selecting scheme is adopted to encourage the ability of preserving motion boundaries and reduce the error, bias generated by smoothness constraint. We validated

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20

Hwang, Shin Hwan, and Sang Uk Lee. "A hierarchical optical flow estimation algorithm based on the interlevel motion smoothness constraint." Pattern Recognition 26, no. 6 (1993): 939–52. http://dx.doi.org/10.1016/0031-3203(93)90059-6.

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21

Kubota, Susumu, and Osamu Hori. "Uncertainty model of the gradient constraint and quantitative reliability measures of optical flow." Systems and Computers in Japan 30, no. 7 (1999): 9–17. http://dx.doi.org/10.1002/(sici)1520-684x(19990630)30:7<9::aid-scj2>3.0.co;2-8.

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22

Zhang, Weihua, Yi Zhang, Chaobang Gao, and Jiliu Zhou. "Action Recognition by Joint Spatial-Temporal Motion Feature." Journal of Applied Mathematics 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/605469.

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This paper introduces a method for human action recognition based on optical flow motion features extraction. Automatic spatial and temporal alignments are combined together in order to encourage the temporal consistence on each action by an enhanced dynamic time warping (DTW) algorithm. At the same time, a fast method based on coarse-to-fine DTW constraint to improve computational performance without reducing accuracy is induced. The main contributions of this study include (1) a joint spatial-temporal multiresolution optical flow computation method which can keep encoding more informative mo

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23

Xie, Qiwei, Qian Long, and Seiichi Mita. "Integration of optical flow and Multi-Path-Viterbi algorithm for stereo vision." International Journal of Wavelets, Multiresolution and Information Processing 15, no. 03 (2017): 1750022. http://dx.doi.org/10.1142/s0219691317500229.

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This paper proposes a novel stereo matching algorithm to solve environment sensing problems. It integrates a non-convex optical flow and Viterbi process. The non-convex optical flow employs a new adaptive weighted non-convex Total Generalized Variation (TGV) model, which can obtain sharp disparity maps. Structural similarity, total variation constraint, and a specific merging strategy are combined with the 4 bi-directional Viterbi process to improve the robustness. In the fusion of the optical flow and Viterbi process, a new occlusion processing method is incorporated in order to get more shar

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24

MÉMIN, ÉTIENNE, and TANGUY RISSET. "ON THE STUDY OF VLSI DERIVATION FOR OPTICAL FLOW ESTIMATION." International Journal of Pattern Recognition and Artificial Intelligence 14, no. 04 (2000): 441–61. http://dx.doi.org/10.1142/s0218001400000295.

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In this paper we propose studying several ways to implement a realistic and efficient VLSI design for a gradient-based dense motion estimator. The kind of estimator we focus on belongs to the class of differential methods. It is classically based on the optical flow constraint equation in association with a smoothness regularization term and also incorporates robust cost functions to alleviate the influence of large residuals. This estimator is expressed as the minimization of a global energy function defined within the framework of an incremental formulation associated with a multiresolution

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25

Xu, Haoxuan, Jianping Wang, Ya Zhang, Guo Zhang, and Zhaolong Xiong. "Subgrid Variational Optimized Optical Flow Estimation Algorithm for Image Velocimetry." Sensors 23, no. 1 (2022): 437. http://dx.doi.org/10.3390/s23010437.

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The variational optical flow model is used in this work to investigate a subgrid-scale optimization approach for modeling complex fluid flows in image sequences and estimating their two-dimensional velocity fields. To solve the problem of lack of sub-grid small-scale structure information in variational optical flow estimation, we combine the motion laws of incompressible fluids. Introducing the idea of large eddy simulation, the instantaneous motion can be decomposed into large-scale motion and a small-scale turbulence in the data term. The Smagorinsky model is used to model and solve the sma

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26

Zhuang, Yuji, Xiaoyan Jiang, Yongbin Gao, Zhijun Fang, and Hamido Fujita. "Unsupervised Monocular Visual Odometry for Fast-Moving Scenes Based on Optical Flow Network with Feature Point Matching Constraint." Sensors 22, no. 24 (2022): 9647. http://dx.doi.org/10.3390/s22249647.

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Robust and accurate visual feature tracking is essential for good pose estimation in visual odometry. However, in fast-moving scenes, feature point extraction and matching are unstable because of blurred images and large image disparity. In this paper, we propose an unsupervised monocular visual odometry framework based on a fusion of features extracted from two sources, that is, the optical flow network and the traditional point feature extractor. In the training process, point features are generated for scene images and the outliers of matched point pairs are filtered by FlannMatch. Meanwhil

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27

ZHANG, Bo, Hui LONG, and Gang LIU. "Multi-channel video target tracking algorithm based on feature constraint and optical flow field model." Chinese Journal of Liquid Crystals and Displays 36, no. 11 (2021): 1554–64. http://dx.doi.org/10.37188/cjlcd.2021-0113.

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28

Guo, Qihui, Zhou Xu, Weiwei Tan, et al. "DeformFlowNet: A deformable transformer with optical flow constraint for interventricular septum segmentation in echocardiography videos." Biomedical Signal Processing and Control 108 (October 2025): 107952. https://doi.org/10.1016/j.bspc.2025.107952.

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29

Sánchez-Juny, Martí, Soledad Estrella, Jorge Matos, Ernest Bladé, Eduardo Martínez-Gomariz, and Enrique Bonet Gil. "Velocity Measurements in Highly Aerated Flow on a Stepped Chute without Sidewall Constraint Using a BIV Technique." Water 14, no. 16 (2022): 2587. http://dx.doi.org/10.3390/w14162587.

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The lack of sidewalls in a spillway leads to lateral expansion of the flow and, consequently, a non-uniform transversal flow rate distribution along the chute. The present work shows the velocity field measured in a physical model of a 1 V:0.8 H steeply sloping stepped spillway without sidewalls. An application of a Bubble Image Velocimetry (BIV) technique in the self-aerated region is shown, using air bubbles entrained into the flow downstream of the inception point as tracers. The results indicate that, for small dimensionless discharges and sufficiently downstream of the point of inception,

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30

Yuan, Wei, Shiyu Chen, Yong Zhang, Jianya Gong, and Ryosuke Shibasaki. "AN AERIAL-IMAGE DENSE MATCHING APPROACH BASED ON OPTICAL FLOW FIELD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 543–48. http://dx.doi.org/10.5194/isprs-archives-xli-b3-543-2016.

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Dense matching plays an important role in many fields, such as DEM (digital evaluation model) producing, robot navigation and 3D environment reconstruction. Traditional approaches may meet the demand of accuracy. But the calculation time and out puts density is hardly be accepted. Focus on the matching efficiency and complex terrain surface matching feasibility an aerial image dense matching method based on optical flow field is proposed in this paper. First, some high accurate and uniformed control points are extracted by using the feature based matching method. Then the optical flow is calcu

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31

Yuan, Wei, Shiyu Chen, Yong Zhang, Jianya Gong, and Ryosuke Shibasaki. "AN AERIAL-IMAGE DENSE MATCHING APPROACH BASED ON OPTICAL FLOW FIELD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 543–48. http://dx.doi.org/10.5194/isprsarchives-xli-b3-543-2016.

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Dense matching plays an important role in many fields, such as DEM (digital evaluation model) producing, robot navigation and 3D environment reconstruction. Traditional approaches may meet the demand of accuracy. But the calculation time and out puts density is hardly be accepted. Focus on the matching efficiency and complex terrain surface matching feasibility an aerial image dense matching method based on optical flow field is proposed in this paper. First, some high accurate and uniformed control points are extracted by using the feature based matching method. Then the optical flow is calcu

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32

Niu Yuhui, 牛宇辉, 奚峥皓 Xi Zhenghao, 薛亚静 Xue Yajing та 陈健超 Chen Jianchao. "基于光流运动约束马尔可夫随机场改进模型的多目标跟踪算法". Laser & Optoelectronics Progress 59, № 2 (2022): 0215006. http://dx.doi.org/10.3788/lop202259.0215006.

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33

Agoyan, Marion, Gary Fourneau, Guy Cheymol, et al. "Confocal chromatic sensor for displacement monitoring in research reactor." EPJ Web of Conferences 253 (2021): 04021. http://dx.doi.org/10.1051/epjconf/202125304021.

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Confocal chromatic microscopy is an optical technique allowing measuring displacement, thickness, and roughness with a sub-micrometric precision. Its operation principle is based on a wavelength encoding of the object position. Historically, the company STIL based in the south of France has first developed this class of sensors in the 90’s. Of course, this sensor can only operate in a sufficiently transparent medium in the used spectral domain. It presents the advantage of being contactless, which is a crucial advantage for some applications such as the fuel rod displacement measurement in a n

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34

Chiba, Masataka, and Shinji Ozawa. "Special Issue Imaging Processing-Algorithm and System. Detection of Optical Flow by Mode of Intersections of Constraint Equations." Journal of the Institute of Television Engineers of Japan 45, no. 10 (1991): 1199–206. http://dx.doi.org/10.3169/itej1978.45.1199.

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35

Cai, Rujun, Ming Zhang, Daoxin Dai, Yaocheng Shi, and Shiming Gao. "Analysis of the Underwater Wireless Optical Communication Channel Based on a Comprehensive Multiparameter Model." Applied Sciences 11, no. 13 (2021): 6051. http://dx.doi.org/10.3390/app11136051.

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A comprehensive multiparameter model is proposed for underwater wireless optical communication (UWOC) channels to integrate the effects of absorption, scattering, and dynamic turbulence. The simulation accuracy is further improved by the combined use of the subharmonic method and the strict sampling constraint method by comparing the phase structure function with the theoretical value. The average light intensity and scintillation index are analyzed using the channel parameters of absorption, scattering, turbulence, flow velocity, and transmission distance. Under weak or medium turbulence, the

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36

Xie, Zongming, Hongping Wang, and Duo Xu. "Spatiotemporal optimization on cross correlation for particle image velocimetry." Physics of Fluids 34, no. 5 (2022): 055105. http://dx.doi.org/10.1063/5.0091839.

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We introduce an optimization method for the cross-correlation operation in particle image velocimetry by locating the correlation peaks assisted with constraint conditions. In this study, an objective function was constructed to include the residual of the normalized cross-correlation term, a component in charge of spatial smoothness (inspired by the optical flow method as used in a previous study) and a component for temporal smoothness (inspired by the concept of trajectory selection in particle tracking velocimetry). Minimizing the objective function gives optimized velocity fields for a se

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37

Liu, Ting, Chengqing Zhang, and Liming Wang. "Integrated Multiscale Appearance Features and Motion Information Prediction Network for Anomaly Detection." Computational Intelligence and Neuroscience 2021 (October 20, 2021): 1–13. http://dx.doi.org/10.1155/2021/6789956.

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The rise of video-prediction algorithms has largely promoted the development of anomaly detection in video surveillance for smart cities and public security. However, most current methods relied on single-scale information to extract appearance (spatial) features and lacked motion (temporal) continuity between video frames. This can cause a loss of partial spatiotemporal information that has great potential to predict future frames, affecting the accuracy of abnormality detection. Thus, we propose a novel prediction network to improve the performance of anomaly detection. Due to the objects of

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38

Song, Zikai, Run Luo, Lintao Ma, et al. "Temporal Coherent Object Flow for Multi-Object Tracking." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 7 (2025): 6978–86. https://doi.org/10.1609/aaai.v39i7.32749.

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Multi-object tracking is a challenging vision task that requires simultaneous reasoning about object detection and object association. Conventional solutions use frame as the basic unit and typically rely on a motion predictor that exploits the appearance features to associate detected candidates, leading to insufficient adaptability to long-term associations. In this study, we propose a section-based multi-object tracking approach that integrates a temporal coherent Object Flow Tracker (OFTrack), capable of achieving simultaneous multi-frame tracking by treating multiple consecutive frames as

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39

Miner, S. M. "Maximizing Electronic System Reliability Through Optimized Distribution of System Coolant." Journal of Electronic Packaging 112, no. 4 (1990): 345–49. http://dx.doi.org/10.1115/1.2904388.

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A mathematical technique for maximizing the reliability in a parallel flow system of electronic units is presented. The failure rate is used as the measure of reliability, and reliability is maximized when the failure rate is minimized. An expression for the system failure rate as a function of individual unit flow rates is derived. This expression, subject to the constraint that the sum of the individual unit flows must equal the system flow rate, forms the basis for this analysis. The method of Lagrange multipliers is applied to minimize the failure rate and determine the optimum distributio

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Wang, Li, Xiaosong Yang, and Jianjun Zhang. "Fast Coherent Video Style Transfer via Flow Errors Reduction." Applied Sciences 14, no. 6 (2024): 2630. http://dx.doi.org/10.3390/app14062630.

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For video style transfer, naively applying still image techniques to process a video frame-by-frame independently often causes flickering artefacts. Some works adopt optical flow into the design of temporal constraint loss to secure temporal consistency. However, these works still suffer from incoherence (including ghosting artefacts) where large motions or occlusions occur, as optical flow fails to detect the boundaries of objects accurately. To address this problem, we propose a novel framework which consists of the following two stages: (1) creating new initialization images from proposed m

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41

Zhou, Wei, Xing Jiang, Qingsong Luo, et al. "Design and Implementation of Semi-Physical Platform for Label Based Frame Switching in Integrated Satellite Terrestrial Networks." Applied Sciences 12, no. 13 (2022): 6674. http://dx.doi.org/10.3390/app12136674.

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With the explosion of traffic demand in recent years, the integration of satellite optical networks and terrestrial networks (ISTN) creates a promising networking solution for future low-latency, high-rate, and high-capacity communications. Owing to the high cost of deploying and maintaining a satellite optical network, it is critical to carefully design and plan the network to ensure the performance of the network. Thus, a semi-physical simulation platform based on software-defined networks (SDNs) is developed to simulate a satellite optical network and evaluate the performance of the propose

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42

Liu, Zhenbin, Zengke Li, Ao Liu, Kefan Shao, Qiang Guo, and Chuanhao Wang. "LVI-Fusion: A Robust Lidar-Visual-Inertial SLAM Scheme." Remote Sensing 16, no. 9 (2024): 1524. http://dx.doi.org/10.3390/rs16091524.

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With the development of simultaneous positioning and mapping technology in the field of automatic driving, the current simultaneous localization and mapping scheme is no longer limited to a single sensor and is developing in the direction of multi-sensor fusion to enhance the robustness and accuracy. In this study, a localization and mapping scheme named LVI-fusion based on multi-sensor fusion of camera, lidar and IMU is proposed. Different sensors have different data acquisition frequencies. To solve the problem of time inconsistency in heterogeneous sensor data tight coupling, the time align

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Li, Hang, Zhe Zhang, Xianggen Yin, and Buhan Zhang. "Preventive Security-Constrained Optimal Power Flow with Probabilistic Guarantees." Energies 13, no. 9 (2020): 2344. http://dx.doi.org/10.3390/en13092344.

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The traditional security-constrained optimal power flow (SCOPF) model under the classical N-1 criterion is implemented in the power industry to ensure the secure operation of a power system. However, with increasing uncertainties from renewable energy sources (RES) and loads, the existing SCOPF model has difficulty meeting the practical requirements of the industry. This paper proposed a novel chance-constrained preventive SCOPF model that considers the uncertainty of power injections, including RES and load, and contingency probability. The chance constraint is used to constrain the overall l

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Chen, Weifeng, Guangtao Shang, Kai Hu, et al. "A Monocular-Visual SLAM System with Semantic and Optical-Flow Fusion for Indoor Dynamic Environments." Micromachines 13, no. 11 (2022): 2006. http://dx.doi.org/10.3390/mi13112006.

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A static environment is a prerequisite for the stable operation of most visual SLAM systems, which limits the practical use of most existing systems. The robustness and accuracy of visual SLAM systems in dynamic environments still face many complex challenges. Only relying on semantic information or geometric methods cannot filter out dynamic feature points well. Considering the problem of dynamic objects easily interfering with the localization accuracy of SLAM systems, this paper proposes a new monocular SLAM algorithm for use in dynamic environments. This improved algorithm combines semanti

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Ahn, Chi Young. "Robust Myocardial Motion Tracking for Echocardiography: Variational Framework Integrating Local-to-Global Deformation." Computational and Mathematical Methods in Medicine 2013 (2013): 1–14. http://dx.doi.org/10.1155/2013/974027.

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This paper proposes a robust real-time myocardial border tracking algorithm for echocardiography. Commonly, after an initial contour of LV border is traced at one or two frames from the entire cardiac cycle, LV contour tracking is performed over the remaining frames. Among a variety of tracking techniques, optical flow method is the most widely used for motion estimation of moving objects. However, when echocardiography data is heavily corrupted in some local regions, the errors bring the tracking point out of the endocardial border, resulting in distorted LV contours. This shape distortion of

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Goswami, Mayank. "A.I. Pipeline for Accurate Retinal Layer Segmentation Using OCT 3D Images." Photonics 10, no. 3 (2023): 275. http://dx.doi.org/10.3390/photonics10030275.

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An image data set from a multi-spectral animal imaging system was used to address two issues: (a) registering the oscillation in optical coherence tomography (OCT) images due to mouse eye movement and (b) suppressing the shadow region under the thick vessels/structures. Several classical and A.I.-based algorithms, separately and in combination, were tested for each task to determine their compatibility with data from the combined animal imaging system. The hybridization of A.I. with optical flow followed by homography transformation was shown to be effective (correlation value > 0.7) for re

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Gándara-Capistrán, José Antonio, and Daniel Olguín-Salinas. "Flujos óptimos de potencia con restricciones de estabilidad ante pequeños disturbios." Científica 26, no. 1 (2022): 1–12. http://dx.doi.org/10.46842/ipn.cien.v26n1a10.

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En grandes sistemas de potencia interconectados el problema de estabilidad ante pequeños disturbios recibe atención debido a las oscilaciones ocasionales o a la variación en la demanda del mismo, para esto se incorpora al problema de optimización matemática de flujos óptimos de potencia una restricción de estabilidad ante pequeños disturbios, la cual se basa en el teorema de Lyapunov modelada como un problema de programación semidefinida, la cual dicta que su matriz P sea positiva definida y simétrica para garantizar la estabilidad del sistema, la solución se hace mediante el método de optimiz

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Li, Ye. "An Adaptive Finite Element Method with Hybrid Basis for Singularly Perturbed Nonlinear Eigenvalue Problems." Communications in Computational Physics 19, no. 2 (2016): 442–72. http://dx.doi.org/10.4208/cicp.021114.140715a.

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AbstractIn this paper, we propose an uniformly convergent adaptive finite element method with hybrid basis (AFEM-HB) for the discretization of singularly perturbed nonlinear eigenvalue problems under constraints with applications in Bose-Einstein condensation (BEC) and quantum chemistry. We begin with the time-independent Gross-Pitaevskii equation and show how to reformulate it into a singularly perturbed nonlinear eigenvalue problem under a constraint. Matched asymptotic approximations for the problem are reviewed to confirm the asymptotic behaviors of the solutions in the boundary/interior l

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Han, Fan, and Istvan Szunyogh. "A Morphing-Based Technique for the Verification of Precipitation Forecasts." Monthly Weather Review 144, no. 1 (2015): 295–313. http://dx.doi.org/10.1175/mwr-d-15-0172.1.

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Abstract This paper describes a morphing-based approach for the verification of precipitation forecasts. This approach employs a pyramid matching algorithm to morph the precipitation features in a forecast into features that match the related precipitation features in the verifying analysis (observations) as closely as possible. The algorithm computes an optical flow (vector field) that maps the original forecast features into the morphed forecast features. The optical flow also provides quantitative information about the error in the location of the forecast features. This information, combin

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Dai, Dongchen, Lina Zheng, Guoqin Yuan, et al. "Real-time and high precision feature matching between blur aerial images." PLOS ONE 17, no. 9 (2022): e0274773. http://dx.doi.org/10.1371/journal.pone.0274773.

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When aerial cameras get aerial remote sensing images, the defocus will occur because of reasons such as air pressure, temperature and ground elevation changes, resulting in different image sharpness of continual aerial remote sensing images. Nowadays, the rapidly developing feature matching algorithm will rapidly reduce the registration rate between images with different image sharpness. Therefore, in order to enable aerial cameras to get image sharpness parameters according to the locations of aerial image feature points with inconsistent sharpness, this paper proposes a feature matching algo

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