Gotowe bibliografie tematyczne / Running Disparity

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Gotowa bibliografia na temat „Running Disparity”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Artykuły w czasopismach na temat "Running Disparity"

Zhang, Xue-he, Ge Li, Chang-le Li, He Zhang, Jie Zhao, and Zhen-xiu Hou. "Stereo Matching Algorithm Based on 2D Delaunay Triangulation." Mathematical Problems in Engineering 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/137193.

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To fulfill the applications on robot vision, the commonly used stereo matching method for depth estimation is supposed to be efficient in terms of running speed and disparity accuracy. Based on this requirement, Delaunay-based stereo matching method is proposed to achieve the aforementioned standards in this paper. First, a Canny edge operator is used to detect the edge points of an image as supporting points. Those points are then processed using a Delaunay triangulation algorithm to divide the whole image into a series of linked triangular facets. A proposed module composed of these facets p

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Yao, Lingxiang, Worapan Kusakunniran, Qiang Wu, Jingsong Xu, and Jian Zhang. "Recognizing Gaits Across Walking and Running Speeds." ACM Transactions on Multimedia Computing, Communications, and Applications 18, no. 3 (2022): 1–22. http://dx.doi.org/10.1145/3488715.

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For decades, very few methods were proposed for cross-mode (i.e., walking vs. running) gait recognition. Thus, it remains largely unexplored regarding how to recognize persons by the way they walk and run. Existing cross-mode methods handle the walking-versus-running problem in two ways, either by exploring the generic mapping relation between walking and running modes or by extracting gait features which are non-/less vulnerable to the changes across these two modes. However, for the first approach, a mapping relation fit for one person may not be applicable to another person. There is no gen

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Xiao, J., L. Yang, J. Zhou, H. Li, B. Li, and L. Ding. "AN IMPROVED ENERGY SEGMENTATION BASED STEREO MATCHING ALGORITHM." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-1-2022 (May 17, 2022): 93–100. http://dx.doi.org/10.5194/isprs-annals-v-1-2022-93-2022.

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Abstract. The stereo matching algorithm is commonly used in dealing with disparity discontinuous areas. However, the algorithm may have higher computational complexity and lack of well-aligned input images. To improve that, this paper presents an improved energy segmentation based stereo matching algorithm. The proposed algorithm incorporates gradient information of each segmented region into the energy function according to the facts that gradients inside the same segmentation should be closer than those from different segmentation. The invalid matching pixels are interpolated with vertical-h

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Li, Hui, Xiao-Guang Zhang, and Zheng Sun. "A Line-Based Adaptive-Weight Matching Algorithm Using Loopy Belief Propagation." Mathematical Problems in Engineering 2015 (2015): 1–13. http://dx.doi.org/10.1155/2015/297392.

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In traditional adaptive-weight stereo matching, the rectangular shaped support region requires excess memory consumption and time. We propose a novel line-based stereo matching algorithm for obtaining a more accurate disparity map with low computation complexity. This algorithm can be divided into two steps: disparity map initialization and disparity map refinement. In the initialization step, a new adaptive-weight model based on the linear support region is put forward for cost aggregation. In this model, the neural network is used to evaluate the spatial proximity, and the mean-shift segment

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Jia, Xiaogang, Wei Chen, Zhengfa Liang, et al. "A Joint 2D-3D Complementary Network for Stereo Matching." Sensors 21, no. 4 (2021): 1430. http://dx.doi.org/10.3390/s21041430.

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Stereo matching is an important research field of computer vision. Due to the dimension of cost aggregation, current neural network-based stereo methods are difficult to trade-off speed and accuracy. To this end, we integrate fast 2D stereo methods with accurate 3D networks to improve performance and reduce running time. We leverage a 2D encoder-decoder network to generate a rough disparity map and construct a disparity range to guide the 3D aggregation network, which can significantly improve the accuracy and reduce the computational cost. We use a stacked hourglass structure to refine the di

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Jue, Li. "Foreground Extraction Based on Dual-Camera System." Applied Mechanics and Materials 50-51 (February 2011): 673–77. http://dx.doi.org/10.4028/www.scientific.net/amm.50-51.673.

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This paper presents an automatic foreground segmentation algorithm for stereo image pair captured by a dual-camera system. Being different from the monocular image, binocular images contain the disparity map between the stereo image pair. For the disparity map is computationally expensive, our approach adopts the residual image with spatial displacement ( , ) to segment the initial trimap automatically. From the residual image, rough region of foreground is clustered as the initial trimap of GrabCut algorithm. Compared with a rectangular region, the calculated trimap is more accurate. After ru

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Verheul, Jasper, Adam C. Clansey, and Mark J. Lake. "Adjustments with running speed reveal neuromuscular adaptations during landing associated with high mileage running training." Journal of Applied Physiology 122, no. 3 (2017): 653–65. http://dx.doi.org/10.1152/japplphysiol.00801.2016.

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It remains to be determined whether running training influences the amplitude of lower limb muscle activations before and during the first half of stance and whether such changes are associated with joint stiffness regulation and usage of stored energy from tendons. Therefore, the aim of this study was to investigate neuromuscular and movement adaptations before and during landing in response to running training across a range of speeds. Two groups of high mileage (HM; >45 km/wk, n = 13) and low mileage (LM; <15 km/wk, n = 13) runners ran at four speeds (2.5–5.5 m/s) while lower limb mec

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Huang, Zedong, Jinan Gu, Jing Li, and Xuefei Yu. "A stereo matching algorithm based on the improved PSMNet." PLOS ONE 16, no. 8 (2021): e0251657. http://dx.doi.org/10.1371/journal.pone.0251657.

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Deep learning based on a convolutional neural network (CNN) has been successfully applied to stereo matching. Compared with the traditional method, the speed and accuracy of this method have been greatly improved. However, the existing stereo matching framework based on a CNN often encounters two problems. First, the existing stereo matching network has many parameters, which leads to the matching running time being too long. Second, the disparity estimation is inadequate in some regions where reflections, repeated textures, and fine structures may lead to ill-posed problems. Through the light

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Guo, Ying-Qing, Mengjiao Gu, and Zhao-Dong Xu. "Research on the Improvement of Semi-Global Matching Algorithm for Binocular Vision Based on Lunar Surface Environment." Sensors 23, no. 15 (2023): 6901. http://dx.doi.org/10.3390/s23156901.

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The low light conditions, abundant dust, and rocky terrain on the lunar surface pose challenges for scientific research. To effectively perceive the surrounding environment, lunar rovers are equipped with binocular cameras. In this paper, with the aim of accurately detect obstacles on the lunar surface under complex conditions, an Improved Semi-Global Matching (I-SGM) algorithm for the binocular cameras is proposed. The proposed method first carries out a cost calculation based on the improved Census transform and an adaptive window based on a connected component. Then, cost aggregation is per

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Vu, Thang, Haeyong Kang, and Chang D. Yoo. "SCNet: Training Inference Sample Consistency for Instance Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 3 (2021): 2701–9. http://dx.doi.org/10.1609/aaai.v35i3.16374.

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Cascaded architectures have brought significant performance improvement in object detection and instance segmentation. However, there are lingering issues regarding the disparity in the Intersection-over-Union (IoU) distribution of the samples between training and inference. This disparity can potentially exacerbate detection accuracy. This paper proposes an architecture referred to as Sample Consistency Network (SCNet) to ensure that the IoU distribution of the samples at training time is close to that at inference time. Furthermore, SCNet incorporates feature relay and utilizes global contex

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Książki na temat "Running Disparity"

Siebert, Martina, Kai Jun Chen, and Dorothy Ko, eds. Making the Palace Machine Work. Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463720359.

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Making the Palace Machine Work: Mobilizing People, Objects, and Nature in the Qing Empire brings the studies of institutions, labour, and material cultures to bear on the history of science and technology by tracing the workings of the Imperial Household Department (Neiwufu) in the Qing court and empire. An enormous apparatus that employed 22,000 men and women at its heyday, the Department operated a "machine" with myriad moving parts. The first part of the book portrays the people who kept it running, from technical experts to menial servants, and scrutinises the paper trails they left behind

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Samama, Leo. The Meaning of Music. Amsterdam University Press, 2016. http://dx.doi.org/10.5117/9789089649799.

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For virtually all of our lives, we are surrounded by music. From lullabies to radio to the praises sung in houses of worship, we encounter music at home and in the street, during work and in our leisure time, and not infrequently at birth and death. But what is music, and what does it mean to humans? How do we process it, and how do we create it? Musician Leo Samama discusses these and many other questions while shaping a vibrant picture of music's importance in human lives both past and present. What is remarkable is that music is recognised almost universally as a type of language that we ca

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Halder, Suni, and Steve Yentis. Maternal mortality and morbidity. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780198713333.003.0031.

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The risk to women’s health is increased during pregnancy, and maternal mortality is used as an indicator of general healthcare provision as well as a target for improving women’s health worldwide. Morbidity is more difficult to define than mortality but may also be used to monitor and improve women’s care during and after pregnancy. Despite international efforts to reduce maternal mortality, there remains a wide disparity between the rate of deaths in developed (maternal mortality ratio less than 10–20 per 100,000 live births) and developing (maternal mortality ratio as high as 1000 or more pe

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Mitchell, Neil J. Why Delegate? Oxford University Press, 2021. http://dx.doi.org/10.1093/oso/9780190904197.001.0001.

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Why Delegate? investigates the incentives to delegate and the risks that one takes in doing so. From mundane interactions like choosing a plumber to weightier tasks like the running of a country, and from recreational enjoyments to the protection of human rights, the world turns on delegation. Where it is successful, delegation brings efficiency, shared responsibility, and even happiness. Where it is not, it brings conflict, corruption, and an absence of accountability. One may hear of Saudi hit squads loose in Istanbul, rogue software engineers creating pollution scandals at Volkswagen, and i

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Części książek na temat "Running Disparity"

Rossetti, Chip. "Translating Cairo’s Hidden Lines: The City as Visual Text in Magdy El Shafee’s Metro." In The City in Arabic Literature, edited by Nizar F. Hermes and Gretchen Head. Edinburgh University Press, 2018. http://dx.doi.org/10.3366/edinburgh/9781474406529.003.0016.

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An examination of the visual language used in Magdy El Shafee’s 2008 graphic novel, which narrates an Egyptian computer programmer’s frustration with a rigged political and economic system in late-Mubarak-era Egypt, and his discovery of official corruption. In Metro, Cairo serves both as an urban canvas for text that visually assaults the reader and as a grid that organizes and reinforces the novel’s thematic elements. This essay analyses how Metro employs a language of verticality to emphasize the disparity between the powerful and powerless. Drawing on Walter Benjamin’s concept of the map as

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Alvarez, Frankie J. "Passion’s Slave: Reminiscences on Latinx Shakespeares in Performance." In Shakespeare and Latinidad. Edinburgh University Press, 2021. http://dx.doi.org/10.3366/edinburgh/9781474488488.003.0004.

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The essay weaves Alvarez’s personal stories about auditioning for, working on, and running Latinx versions of Shakespeare plays: Measure for Measure at the Oregon Shakespeare Festival in 2011, and the bilingual rep production of Hamlet: Prince of Cuba at Asolo Repertory in 2012. This chapter espouses on the virtues of the bilingual exercise, the importance of diverse stories on stage, how the Spanish and English version of Hamlet were in constant conversation during our run, and the various research and techniques—both vocal and physical—that I used to prepare for and run the show. This chapte

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Harris, Michael W. "The Emergence of Gospel Blues: 1931-1932." In The Rise of Gospel Blues. Oxford University PressNew York, NY, 1995. http://dx.doi.org/10.1093/oso/9780195063769.003.0012.

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Abstract At each of the critical points in Dorsey’s career a cry―perhaps to him like the mother eagle’s―sounded for him to alter his life significantly. The cry from Bessie Smith’s downhome blues awakened him to the fact that he had been running with the Tin Pan Alley “chickens.” Her cry brought him back to traditional blues and into his blues-making with Ma Rainey and then into his recording career as Georgia Tom. Next the cry came in the preaching/singing of the Reverends Nix and Hall and the other recording preachers. They summoned him to a more effective presentation of his gospel songs an

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Hardy, Anne. "Tracking via Volunteered Geographic Information." In Tracking Tourists. Goodfellow Publishers, 2020. http://dx.doi.org/10.23912/9781911635383-4574.

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Over the past 20 years, the use of location-based tracking has become increasingly popular. The introduction of GPS technology into devices such as phones and watches, and its incorporation into tracking apps, has led to widespread use of apps which track activities, particularly those of a sporting nature. There are now over 318,000 health and fitness apps – called mHealth apps (Byambasuren et al., 2018) – and it is estimated that 75% of runners now use them (Janssen et al., 2017). Many of these apps contain the ability for users to track their movement and share it with fellow app users – St

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Streszczenia konferencji na temat "Running Disparity"

Wang, Xinguo, Omar Sallam, David Moulton, et al. "High-Speed Craft Model Design, Data Acquisition and Environment Monitoring for Free-Running Tests." In SNAME Maritime Convention. SNAME, 2022. http://dx.doi.org/10.5957/smc-2022-085.

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The majority of experimental research conducted on the hydrodynamics of High-Speed Crafts (HSC) has been done in towing tanks. This presents a couple of issues; towing facilities are expensive, and the ideal conditions of the tank create a disparity between experiment and open water performance. Free-running models tested in open water can overcome some of these limitations. This paper presents the detailed design of a free-running model for open water experimental application. The model development includes hull construction, design and integration of a propulsion & steering system, data

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Hoopes, Daniel M., Scott B. Seibert, and Thay Q. Lee. "An Integrated Software and Hardware System for Dynamic Cadaveric Shoulder Testing." In ASME 2008 3rd Frontiers in Biomedical Devices Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/biomed2008-38075.

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Shoulder joint biomechanics can be investigated using cadaveric testing setups. A novel system is described which uses a computer and graphical user interface to both control electronic actuators and record data from sensors. The algorithm of the custom software, programmed in the LabVIEW G language, is described. A desktop computer running the custom software and through National Instruments I/O hardware gives users full control over dynamic and static actuation and also collects, compiles, and records all data streams from disparate sensing modalities. Data gathered from a run to validate th

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Elkhamry, Ayman, Nigel Clegg, Ahmed Taher, and Eduard Bikchandaev. "The First Successful Azimuthal Well Placement Utilizing Real-Time Azimuthal Resistivity Measurements and Ultra-Deep 3D Inversion." In International Petroleum Technology Conference. IPTC, 2023. http://dx.doi.org/10.2523/iptc-22779-ea.

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Abstract Ultra-Deep electromagnetic (EM) azimuthal measurements provide critical data for well placement operations, allowing real-time assessment of resistivity boundaries over 100ft from the well. Historically, 1D and 2D inversions displayed vertical boundary changes, however they do not resolve azimuthal changes. Other 3D approaches lacked real-time aspect or endured costly deployment. This paper describes integration of real-time 3D EM Inversions for both inclination and azimuth trajectory corrections, to optimize well path and increase efficiency while drilling HA/HZ wells. Triaxial ultra

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Salehi, Faezeh, Moein Razavi, Mason Smith, and Manish Dixit. "Integrated Eye-Tracking and EEG Data Collection and Synchronization for Virtual Reality-Based Spatial Ability Assessments." In Intelligent Human Systems Integration (IHSI 2024) Integrating People and Intelligent Systems. AHFE International, 2024. http://dx.doi.org/10.54941/ahfe1004499.

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In the realm of virtual reality (VR) research, the synergy of methodological advancements, technical innovation, and novel applications is paramount. Our work encapsulates these facets in the context of spatial ability assessments conducted within a VR environment. This paper presents a comprehensive and integrated framework of VR, eye-tracking, and electroencephalography (EEG), which seamlessly combines measuring participants’ behavioral performance and simultaneously collecting time-stamped eye tracking and EEG data to enable understanding how spatial ability is impacted in certain condition

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