Relevant bibliographies by topics / Optical flow constraint

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Optical flow constraint'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Optical flow constraint"

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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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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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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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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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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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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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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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Dissertations / Theses on the topic "Optical flow constraint"

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Olley, Peter, Timothy D. Gough, R. Spares, and Philip D. Coates. "An experimental and simulation comparison of a 3-D abrupt contraction flow using the Molecular Stress Function constitutive model." Maney Publishing, 2020. http://hdl.handle.net/10454/18042.

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Yes<br>The Molecular Stress Function (MSF) constitutive model with convective constraint release mechanism has been shown to accurately fit a large range of viscometric data, and also shown to give strong vortex growth in flows of LDPE through planar and axisymmetric contractions. This work compares simulation and experimental results for 3-D flows of Lupolen 1840H LDPE through a contraction slit; 3-D effects are introduced by using a slit with a low upstream aspect ratio of 5:3. Comparisons are made with vortex opening angles obtained from streak photography, and also with stress birefringe
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Kheder, Youssof. "Optimal power flow with stability constraints." Thesis, Kheder, Youssof (2015) Optimal power flow with stability constraints. Honours thesis, Murdoch University, 2015. https://researchrepository.murdoch.edu.au/id/eprint/30807/.

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The optimal power flow (OPF) problem aims to control the generation and consumption of generators and loads. The main objectives are to minimise the generation cost, power losses while maintaining stability of the generators in the network. The network used for analysis and testing of OPF with stability constraints is the ‘WSCC 9 bus 3 machine’ [1] network (refer to chapter 5). MATLAB is used to develop algorithms for three alternative simulations that all encompass the same fault and clearing time in order to compare the outcomes. The first simulation includes load flow analysis followed
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KAIMAL, VINOD GOPALKRISHNA. "A NEURAL METHOD OF COMPUTING OPTICAL FLOW BASED ON GEOMETRIC CONSTRAINTS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1037632137.

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ALMEIDA, JOSE ANTONIO FERREIRA DE. "INCLUSION OF REACTIVE VOLTAGE CONSTRAINTS IN LINEARIZED OPTIMAL POWER FLOW." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1991. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=14574@1.

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O sistema elétrico é planejado para operar na condição mais confiável possível de atendimento, sem que sejam violadas as restrições operativas a que está sujeito. Para a busca da região segura de operação utilizam-se vários programas de otimização e simulação. O Fluxo de Potência Ótimo (FPO) é uma ferramenta muito útil para a busca do ponto de operação seguro. Mas, devido a sua complexidade computacional para solução das restrições não-lineares, possui resposta relativamente lenta, impossibilitando a sua utilização em diversos casos práticos, tanto em tempo real, onde existe a necessidade de r
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Zamani, Iman. "Optimal distributed generation planning based on NSGA-II and MATPOWER." Thesis, Brunel University, 2015. http://bura.brunel.ac.uk/handle/2438/11483.

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The UK and the world are moving away from central energy resource to distributed generation (DG) in order to lower carbon emissions. Renewable energy resources comprise a big percentage of DGs and their optimal integration to the grid is the main attempt of planning/developing projects with in electricity network. Feasibility and thorough conceptual design studies are required in the planning/development process as most of the electricity networks are designed in a few decades ago, not considering the challenges imposed by DGs. As an example, the issue of voltage rise during steady state condi
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Anthony, Ikenna O., Geev Mokryani, Rana H. A. Zubo, and O. A. Ezechukwu. "Distribution Network Reconfiguration Considering Security-Constraint and Multi-DG Configurations." IEEE, 2020. http://hdl.handle.net/10454/18492.

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Yes<br>This paper proposes a novel method for distribution network reconfiguration considering security-constraints and multi-configuration of renewable distributed generators (DG). The objective of the proposed method is to minimize the total operational cost using security constrained optimal power flow (SCOPF). The impact of multi-configuration of renewable DGs in a meshed network is investigated. In this work, lines were added to the radial distribution network to analyse the network power flow in different network configurations. The added lines were connected to the closest generator bus
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Pajic, Slobodan. "Sequential quadratic programming-based contingency constrained optimal power flow." Link to electronic thesis, 2003. http://www.wpi.edu/Pubs/ETD/Available/etd-0430103-152758.

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Mijatovic, Aaron. "Solving optimal power flow with voltage constraints using MATLAB optimization toolbox." Thesis, Mijatovic, Aaron (2013) Solving optimal power flow with voltage constraints using MATLAB optimization toolbox. Other thesis, Murdoch University, 2013. https://researchrepository.murdoch.edu.au/id/eprint/21660/.

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This thesis set out to build a program in MATLAB that is designed to find an optimal power flow system on that minimizes the cost of generation while satisfying prescribed voltage constraints. Current optimal power flow solutions generally have three main issues with optimal power flow and this is the direction of most research in the area. The first issue is that the systems are not able to robustly provide a solution to the given information and are unable to find a stable solution. The second issue is that the optimal power flow may only find a local minimum solution rather than a globa
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Mohammadi, Javad. "Distributed Computational Methods for Energy Management in Smart Grids." Research Showcase @ CMU, 2016. http://repository.cmu.edu/dissertations/710.

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It is expected that the grid of the future differs from the current system by the increased integration of distributed generation, distributed storage, demand response, power electronics, and communications and sensing technologies. The consequence is that the physical structure of the system becomes significantly more distributed. The existing centralized control structure is not suitable any more to operate such a highly distributed system. This thesis is dedicated to providing a promising solution to a class of energy management problems in power systems with a high penetration of distribut
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Chiang, Naiyuan. "Structure-exploiting interior point methods for security constrained optimal power flow problems." Thesis, University of Edinburgh, 2013. http://hdl.handle.net/1842/8281.

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The aim of this research is to demonstrate some more efficient approaches to solve the n-1 security constrained optimal power flow (SCOPF) problems by using structure-exploiting primal-dual interior point methods (IPM). Firstly, we consider a DC-SCOPF model, which is a linearized version of AC-SCOPF. One new reformulation of the DC-SCOPF model is suggested, in which most matrices that need to be factorized are constant. Consequently, most numerical factorizations and a large number of back-solve operations only need to be performed once throughout the entire IPM process. In the framework of th
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Books on the topic "Optical flow constraint"

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Martin, Graham R. What Drives Bird Senses? Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199694532.003.0008.

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Many tasks could drive the evolution of bird sensory systems. Key candidates are flight, foraging, predator detection, and reproduction. Comparative analysis of visual fields and retinal structures shows functionally significant differences in the vision of even closely related species. These are best explained by foraging being the primary driver of vision in birds, and this is traded-off against the demands of predator detection. The key task is the control of bill position and timing its arrival at a target. This is achieved by the extraction of information from the optic flow-field which e
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Book chapters on the topic "Optical flow constraint"

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Mohamed, Mahmoud A., M. Hossein Mirabdollah, and Bärbel Mertsching. "Monocular Epipolar Constraint for Optical Flow Estimation." In Lecture Notes in Computer Science. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68345-4_6.

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Kearney, Joseph K., and William B. Thompson. "Bounding Constraint Propagation for Optical Flow Estimation." In The Kluwer International Series in Engineering and Computer Science. Springer US, 1988. http://dx.doi.org/10.1007/978-1-4613-1071-6_1.

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Rosman, Guy, Shachar Shem-Tov, David Bitton, et al. "Over-Parameterized Optical Flow Using a Stereoscopic Constraint." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-24785-9_64.

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Mohamed, Mahmoud A., M. Hossein Mirabdollah, and Bärbel Mertsching. "Differential Optical Flow Estimation Under Monocular Epipolar Line Constraint." In Lecture Notes in Computer Science. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-20904-3_32.

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Rakêt, Lars Lau, Lars Roholm, Andrés Bruhn, and Joachim Weickert. "Motion Compensated Frame Interpolation with a Symmetric Optical Flow Constraint." In Advances in Visual Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33179-4_43.

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Ohta, Naoya. "Optical flow detection using a general noise model for gradient constraint." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63460-6_177.

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Nagel, Hans-Hellmut. "Extending the ‘Oriented smoothness constraint’ into the temporal domain and the estimation of derivatives of optical flow." In Computer Vision — ECCV 90. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/bfb0014860.

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Tistarelli, Massimo. "Multiple constraints for optical flow." In Computer Vision — ECCV '94. Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/3-540-57956-7_6.

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Mendelsohn, Jeffrey, Eero Simoncelli, and Ruzena Bajcsy. "Discrete-time rigidity-constrained optical flow." In Computer Analysis of Images and Patterns. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63460-6_125.

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Deokate, Manoj Bhaurao, and Rajesh S. Surjuse. "Optimal Power Flow Control Using Constraint Optimization." In Technological Innovations & Applications in Industry 4.0. CRC Press, 2024. http://dx.doi.org/10.1201/9781003567653-38.

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Conference papers on the topic "Optical flow constraint"

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Magar, Madan Rana, and Nga Nguyen. "Quantum Inspired DC Optimal Power Flow Under Frequency Constraint." In 2025 IEEE Texas Power and Energy Conference (TPEC). IEEE, 2025. https://doi.org/10.1109/tpec63981.2025.10906825.

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Chacko, Keerthi, Mohammad Alizadeh, Florin Capitanescu, and Pu Li. "Chance Constrained Framework for AC Security Constrained Optimal Power Flow." In 2024 International Conference on Smart Energy Systems and Technologies (SEST). IEEE, 2024. http://dx.doi.org/10.1109/sest61601.2024.10694549.

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Alizadeh, Mohammad Iman, Florin Capitanescu, Pedro P. Barbeiro, José Gouveia, Carlos L. Moreira, and Filipe Soares. "Extending AC Security Constrained Optimal Power Flow for Low Inertia Systems with Artificial Neural Network-based Frequency Stability Constraints." In 2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE). IEEE, 2024. https://doi.org/10.1109/isgteurope62998.2024.10863287.

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Feng, Depin, Bo Cui, Tao Chen, et al. "Solution Analysis of Optimal Reactive Power Flow Considering Voltage Constraint Variation." In 2024 IEEE PES 16th Asia-Pacific Power and Energy Engineering Conference (APPEEC). IEEE, 2024. https://doi.org/10.1109/appeec61255.2024.10922240.

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Paul, Sourav, Sneha Sultana, Nirmalya Dey, Tahseen Mushtaq, Divya Bharati Prusty, and Provas Kumar Roy. "Optimal Tuning of Transient Stability Constraint Optimal Power Flow Problems using Novel Optimization Algorithm." In 2024 4th International Conference on Computer, Communication, Control & Information Technology (C3IT). IEEE, 2024. https://doi.org/10.1109/c3it60531.2024.10829417.

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Kayalvizhi, S., and R. Arulraj. "Security Constrained Optimal Power Flow using Meta-Heuristic Algorithms." In 2024 IEEE 3rd International Conference on Electrical Power and Energy Systems (ICEPES). IEEE, 2024. http://dx.doi.org/10.1109/icepes60647.2024.10653608.

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Martine, P., J. Pousin, and P. Clarysse. "Optimal extended optical flow and statistical constraint." In 2009 6th International Symposium on Image and Signal Processing and Analysis. IEEE, 2009. http://dx.doi.org/10.1109/ispa.2009.5297655.

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Choi, Jongwon, Hyeongwoo Kim, Tae-Hyun Oh, and In So Kweon. "Balanced optical flow refinement by bidirectional constraint." In 2014 IEEE International Conference on Image Processing (ICIP). IEEE, 2014. http://dx.doi.org/10.1109/icip.2014.7026108.

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Zhao, Jie, Yuanquan Wang, and Huaibin Wang. "Optical Flow with Harmonic Constraint and Oriented Smoothness." In Graphics (ICIG). IEEE, 2011. http://dx.doi.org/10.1109/icig.2011.122.

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Randriantsoa, A., and Y. Berthoumieu. "Optical flow estimation using forward-backward constraint equation." In Proceedings of 7th IEEE International Conference on Image Processing. IEEE, 2000. http://dx.doi.org/10.1109/icip.2000.899495.

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Reports on the topic "Optical flow constraint"

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Kim, Kibaek, Youngdae Kim, Daniel Maldonado, Michel Schanen, Victor Zavala, and Nai-Yuan Chiang. A Scalable Mixed-Integer Decomposition Method for Security-Constrained Optimal Power Flow with Complementarity Constraints. Office of Scientific and Technical Information (OSTI), 2021. http://dx.doi.org/10.2172/1835277.

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Chiang, Hsiao-Dong. High Performance Solution for Security Constrained Optimal Power Flow. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1863594.

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Chiang, Hsiao-Dong. High Performance Solution for Security Constrained Optimal Power Flow. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/1863594.

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Bienstock, Daniel, Michael Chertkov, and Sean Harnett. Chance Constrained Optimal Power Flow: Risk-Aware Network Control under Uncertainty. Office of Scientific and Technical Information (OSTI), 2012. http://dx.doi.org/10.2172/1052351.

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Baker, Kyri. Intelligent System Partitioning for Agent-Based Security Constrained Optimal Power Flow. Office of Scientific and Technical Information (OSTI), 2022. http://dx.doi.org/10.2172/2324812.

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Fu, Yong. Intelligent Partitioning based Fully Parallel AC Security-Constrained Optimal Power Flow. Office of Scientific and Technical Information (OSTI), 2024. https://doi.org/10.2172/2406269.

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Tsur, Yacov, David Zilberman, Uri Shani, Amos Zemel, and David Sunding. Dynamic intraseasonal irrigation management under water scarcity, water quality, irrigation technology and environmental constraints. United States Department of Agriculture, 2007. http://dx.doi.org/10.32747/2007.7696507.bard.

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In this project we studied optimal use and adoption of sophisticated irrigation technologies. The stated objectives in the original proposal were to develop a conceptual framework for analyzing intra-season timing of water application rates with implications for crop and irrigation technology selection. We proposed to base the analysis on an intra-seasonal, dynamic, agro-economic model of plants' water demand, paying special attention to contamination of groundwater and soil in intensively cultivated areas that increasingly rely on water of lesser quality. The framework developed in the projec
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Ddiba, Daniel, Mahboubeh Rahmati Abkenar, and Carla Liera. Methods for Measuring Greenhouse Gas Emissions from Sanitation and Wastewater Management Systems: A Review of Method Features, Past Applications and Facilitating Factors for Researchers, Practitioners and Other Stakeholders. Stockholm Environment Institute, 2024. http://dx.doi.org/10.51414/sei2024.030.

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This report presents an analysis of seven categories of enclosure-based and open methods described previously, and discusses their applicability across different sanitation and wastewater management technologies and geographical contexts. The report’s findings, based on a scoping literature review and interviews with a selection of experts, highlight key methodological gaps and opportunities for innovation. The findings reveal the predominant use of enclosure-based methods, such as static and flow-through flux chambers, which, despite their widespread adoption, are constrained by scale limitat
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Wilkowski, Gery. L52249 Failure Initiation Modes of Pipe with High Charpy Transition Temperature. Pipeline Research Council International, Inc. (PRCI), 2004. http://dx.doi.org/10.55274/r0010352.

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This project was developed to establish a general methodology to; (a) determine a simple way to assess what is the lowest temperature where ductile crack initiation will occur for a sharp crack or a blunt flaw (i.e., corrosion), (b) to developed several optional approaches to predict the transition temperature shifts that depend on what type of lab specimen data are available, and (c) show validation from past tests as well as by conducting tests on older vintage linepipe steels. This report presents a methodology that determines the lowest temperature where ductile fracture would occur for ei
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