Relevant bibliographies by topics / High framerate

Academic literature on the topic 'High framerate'

Author: Grafiati
Published: 10 March 2023

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Journal articles on the topic "High framerate"

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Schmid, S., and D. Fritsch. "A VARIANT OF LSD-SLAM CAPABLE OF PROCESSING HIGH-SPEED LOW-FRAMERATE MONOCULAR DATASETS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W8 (November 14, 2017): 243–47. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w8-243-2017.

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We develop a new variant of LSD-SLAM, called C-LSD-SLAM, which is capable of performing monocular tracking and mapping in high-speed low-framerate situations such as those of the KITTI datasets. The methods used here are robust against the influence of erronously triangulated points near the epipolar direction, which otherwise causes tracking divergence.
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Antink, Christoph Hoog, and Steffen Leonhardt. "QUANTIFICATION OF RESPIRATORY SINUS ARRHYTHMIA WITH HIGH-FRAMERATE ELECTRICAL IMPEDANCE TOMOGRAPHY." Acta Polytechnica 53, no. 6 (December 31, 2013): 854–61. http://dx.doi.org/10.14311/ap.2013.53.0854.

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Respiratory Sinus Arrhythmia, the variation in the heart rate synchronized with the breathing cycle, forms an interconnection between cardiac-related and respiratory-related signals. It can be used by itself for diagnostic purposes, or by exploiting the redundancies it creates, for example by extracting respiratory rate from an electrocardiogram (ECG). To perform quantitative analysis and patient specific modeling, however, simultaneous information about ventilation as well as cardiac activity needs to be recorded and analyzed. The recent advent of medically approved Electrical Impedance Tomography (EIT) devices capable of recording up to 50 frames per second facilitates the application of this technology. This paper presents the automated selection of a cardiac-related signal from EIT data and quantitative analysis of this signal. It is demonstrated that beat-to-beat intervals can be extracted with a median absolute error below 20 ms. A comparison between ECG and EIT data shows a variation in peak delay time that requires further analysis. Finally, the known coupling of heart rate variability and tidal volume can be shown and quantified using global impedance as a surrogate for tidal volume.
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Gawehn, Matthijs, Rafael Almar, Erwin W. J. Bergsma, Sierd de Vries, and Stefan Aarninkhof. "Depth Inversion from Wave Frequencies in Temporally Augmented Satellite Video." Remote Sensing 14, no. 8 (April 12, 2022): 1847. http://dx.doi.org/10.3390/rs14081847.

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Optical satellite images of the nearshore water surface offer the possibility to invert water depths and thereby constitute the underlying bathymetry. Depth inversion techniques based on surface wave patterns can handle clear and turbid waters in a variety of global coastal environments. Common depth inversion algorithms require video from shore-based camera stations, UAVs or Xband-radars with a typical duration of minutes and at framerates of 1–2 fps to find relevant wave frequencies. These requirements are often not met by satellite imagery. In this paper, satellite imagery is augmented from a sequence of 12 images of Capbreton, France, collected over a period of ∼1.5 min at a framerate of 1/8 fps by the Pleiades satellite, to a pseudo-video with a framerate of 1 fps. For this purpose, a recently developed method is used, which considers spatial pathways of propagating waves for temporal video reconstruction. The augmented video is subsequently processed with a frequency-based depth inversion algorithm that works largely unsupervised and is openly available. The resulting depth estimates approximate ground truth with an overall depth bias of −0.9 m and an interquartile range of depth errors of 5.1 m. The acquired accuracy is sufficiently high to correctly predict wave heights over the shoreface with a numerical wave model and to find hotspots where wave refraction leads to focusing of wave energy that has potential implications for coastal hazard assessments. A more detailed depth inversion analysis of the nearshore region furthermore demonstrates the possibility to detect sandbars. The combination of image augmentation with a frequency-based depth inversion method shows potential for broad application to temporally sparse satellite imagery and thereby aids in the effort towards globally available coastal bathymetry data.
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Hossain, Md Mamun, Md Ashiqur Rahman, and Humayra Ahmed. "Identifying Objects in Real-Time at the Lowest Framerate." International Journal of Research and Innovation in Applied Science 07, no. 08 (2022): 60–63. http://dx.doi.org/10.51584/ijrias.2022.7809.

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The practice of finding instances of semantic objects of a certain class, including people, cars, and traffic signs, in digital photos and videos is known as object identification or detection. Due to the development of high-resolution cameras and their widespread usage in everyday life, the detection is one of the most difficult and rapidly expanding study fields in computer science, particularly in computer vision. For automatic object recognition, several researchers have experimented with a variety of techniques, including image processing and computer vision. In this research, we employed a deep learning based framework YOLOv3 using Python, Tensorflow, and OpenCV to identify objects in real time. We do a number of tests using the COCO dataset to verify the effectiveness of the suggested strategy. The results of the experiments show that our suggested solution is resource and cost effective since it uses the fewest frames per second.
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HU, Tingting, Ryuji FUCHIKAMI, and Takeshi IKENAGA. "High Temporal Resolution-Based Temporal Iterative Tracking for High Framerate and Ultra-Low Delay Dynamic Tracking System." IEICE Transactions on Information and Systems E105.D, no. 5 (May 1, 2022): 1064–74. http://dx.doi.org/10.1587/transinf.2021edp7200.

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Tomioka, Kohei, Toshio Yasue, Ryohei Funatsu, Kodai Kikuchi, Tomoki Matsubara, Takayuki Yamashita, and Shoji Kawahito. "Improved Correlated Multiple Sampling by Using Interleaved Pixel Source Follower for High-Resolution and High-Framerate CMOS Image Sensor." IEEE Transactions on Electron Devices 68, no. 5 (May 2021): 2326–34. http://dx.doi.org/10.1109/ted.2021.3069177.

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Scapin, Martina, Lorenzo Peroni, and Massimiliano Avalle. "Dynamic Brazilian Test for Mechanical Characterization of Ceramic Ballistic Protection." Shock and Vibration 2017 (2017): 1–10. http://dx.doi.org/10.1155/2017/7485856.

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The aim of this work is to identify the tensile strength of alumina (Corbit98), by performing Brazilian tests at different loading rate. In this kind of test, generally used for brittle material in static loading conditions, a cylindrical specimen is diametrically compressed and failure is generated in the middle of the component as a consequence of a positive tensile stress. In this work, this experimental technique was applied also in dynamic loading conditions by using a setup based on the Split Hopkinson Pressure Bar. Due to the properties of the investigated material, among which are high hardness, high compressive strength, and brittle behaviour, some precautions were needed to assure the validity of the tests. Digital Image Correlation techniques were applied for the analysis of high framerate videos.
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Lind, Jannik, Christian Hagenlocher, David Blazquez-Sanchez, Marc Hummel, A. Olowinsky, Rudolf Weber, and Thomas Graf. "Influence of the laser cutting front geometry on the striation formation analysed with high-speed synchrotron X-ray imaging." IOP Conference Series: Materials Science and Engineering 1135, no. 1 (November 1, 2021): 012009. http://dx.doi.org/10.1088/1757-899x/1135/1/012009.

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Abstract The generation of low surface roughness of the cut edge during laser beam cutting is a challenge. The striation pattern, which determines the surface roughness, can be distinguished into regular and interrupted striations, the latter resulting in an increased surface roughness. In order to analyse their formation, the space- and time-resolved cutting front geometry and melt film thickness were captured during laser beam fusion cutting of aluminium sheets with a framerate of 1000 Hz by means of high-speed synchrotron X-ray imaging. The comparison of the contours of the cutting fronts for a cut result with regular und interrupted striations shows that the contour fluctuates significantly more in case of interrupted striations. This leads to a strong fluctuation of the local angle of incidence. In addition, the average angle of incidence decreases, which results in an increase of the average absorbed irradiance. Both phenomena, local increase of absorbed irradiance and its dynamic fluctuation, result in a local increase of the melt film thickness at the cutting front which is responsible for the formation of the interrupted striations.
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Uhrina, Miroslav, Anna Holesova, Juraj Bienik, and Lukas Sevcik. "Impact of Scene Content on High Resolution Video Quality." Sensors 21, no. 8 (April 19, 2021): 2872. http://dx.doi.org/10.3390/s21082872.

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This paper deals with the impact of content on the perceived video quality evaluated using the subjective Absolute Category Rating (ACR) method. The assessment was conducted on eight types of video sequences with diverse content obtained from the SJTU dataset. The sequences were encoded at 5 different constant bitrates in two widely video compression standards H.264/AVC and H.265/HEVC at Full HD and Ultra HD resolutions, which means 160 annotated video sequences were created. The length of Group of Pictures (GOP) was set to half the framerate value, as is typical for video intended for transmission over a noisy communication channel. The evaluation was performed in two laboratories: one situated at the University of Zilina, and the second at the VSB—Technical University in Ostrava. The results acquired in both laboratories reached/showed a high correlation. Notwithstanding the fact that the sequences with low Spatial Information (SI) and Temporal Information (TI) values reached better Mean Opinion Score (MOS) score than the sequences with higher SI and TI values, these two parameters are not sufficient for scene description, and this domain should be the subject of further research. The evaluation results led us to the conclusion that it is unnecessary to use the H.265/HEVC codec for compression of Full HD sequences and the compression efficiency of the H.265 codec by the Ultra HD resolution reaches the compression efficiency of both codecs by the Full HD resolution. This paper also includes the recommendations for minimum bitrate thresholds at which the video sequences at both resolutions retain good and fair subjectively perceived quality.
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Ning, Keqing, Zhihao Zhang, Kai Han, Siyu Han, and Xiqing Zhang. "Single-Core Multiscale Residual Network for the Super Resolution of Liquid Metal Specimen Images." Machine Learning and Knowledge Extraction 3, no. 2 (May 27, 2021): 453–66. http://dx.doi.org/10.3390/make3020023.

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In a gravity-free or microgravity environment, liquid metals without crystalline nuclei achieve a deep undercooling state. The resulting melts exhibit unique properties, and the research of this phenomenon is critical for exploring new metastable materials. Owing to the rapid crystallization rates of deeply undercooled liquid metal droplets, as well as cost concerns, experimental systems meant for the study of liquid metal specimens usually use low-resolution, high-framerate, high-speed cameras, which result in low-resolution photographs. To facilitate subsequent studies by material scientists, it is necessary to use super-resolution techniques to increase the resolution of these photographs. However, existing super-resolution algorithms cannot quickly and accurately restore the details contained in images of deeply undercooled liquid metal specimens. To address this problem, we propose the single-core multiscale residual network (SCMSRN) algorithm for photographic images of liquid metal specimens. In this model, multiple cascaded filters are used to obtain feature information, and the multiscale features are then fused by a residual network. Compared to existing state-of-the-art artificial neural network super-resolution algorithms, such as SRCNN, VDSR and MSRN, our model was able to achieve higher PSNR and SSIM scores and reduce network size and training time.
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Dissertations / Theses on the topic "High framerate"

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VITI, JACOPO. "High Framerate Imaging of Ultrasound Contrast Agents." Doctoral thesis, 2016. http://hdl.handle.net/2158/1028362.

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Ultrasound contrast agents (UCAs) consists of a suspension of tiny gas bubbles that is injected into a patient’s bloodstream to enhance the visualization of blood in ultrasound images. As UCAs respond differently to ultrasound pulses compared to the surrounding soft tissues and blood, it is possible to employ specialized techniques to identify and isolate UCAs in an ultrasound image. This is commonly referred to as Ultrasound Contrast Imaging. This PhD thesis evaluates several traditional ultrasound contrast imaging strategies, based on scanning images through linear arrays; furthermore, innovative high frame rate strategies are explored, which are shown to be suited for high sensitivity tracking of even a single microbubble.
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Book chapters on the topic "High framerate"

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Haouchine, Nazim, Parikshit Juvekar, Xin Xiong, Jie Luo, Tina Kapur, Rose Du, Alexandra Golby, and Sarah Frisken. "Estimation of High Framerate Digital Subtraction Angiography Sequences at Low Radiation Dose." In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021, 171–80. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-87231-1_17.

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Conference papers on the topic "High framerate"

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Guo, Kaiwen, Jonathan Taylor, Sean Fanello, Andrea Tagliasacchi, Mingsong Dou, Philip Davidson, Adarsh Kowdle, and Shahram Izadi. "TwinFusion: High Framerate Non-rigid Fusion through Fast Correspondence Tracking." In 2018 International Conference on 3D Vision (3DV). IEEE, 2018. http://dx.doi.org/10.1109/3dv.2018.00074.

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Asmann, Andreas, Brian Stewart, Joao F. C. Mota, and Andrew M. Wallace. "Compressive Super-Pixel LiDAR for High-Framerate 3D Depth Imaging." In 2019 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2019. http://dx.doi.org/10.1109/globalsip45357.2019.8969177.

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Boehrer, Nicolas, Alexandre da Silva Patras Gabriel, Aschwin Brandt, Wouter Uijens, Leo Kampmeijer, Nanda van der Stap, and Klamer Schutte. "Onboard ROI selection for aerial surveillance using a high resolution, high framerate camera." In Mobile Image Exploitation and Learning 2020, edited by Sos S. Agaian, Stephen P. DelMarco, and Vijayan K. Asari. SPIE, 2020. http://dx.doi.org/10.1117/12.2557988.

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Voumard, Thibault, Thibault Wildi, Victor Brasch, Raul Gutierrez Alvarez, German Vergara Ogando, and Tobias Herr. "Dual-Comb Hyperspectral Imaging with a High-Framerate Infrared Detector Array." In CLEO: Science and Innovations. Washington, D.C.: OSA, 2020. http://dx.doi.org/10.1364/cleo_si.2020.sth3f.4.

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Le, David Q., Emily Chang, Paul A. Dayton, and Kennita Johnson. "High-Framerate Dynamic Contrast-Enhanced Ultrasound Imaging of Rat Kidney Perfusion." In 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8926166.

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Hultman, Martin, Ingemar Fredriksson, Marcus Larsson, and Tomas Strömberg. "Evaluation of a high framerate multi-exposure laser speckle contrast imaging setup." In High-Speed Biomedical Imaging and Spectroscopy III: Toward Big Data Instrumentation and Management, edited by Keisuke Goda and Kevin K. Tsia. SPIE, 2018. http://dx.doi.org/10.1117/12.2286248.

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Anand, Keerthi, Gabriela Torres, and Caterina Gallippi. "On the Potential for High Framerate ARFI Variance of Acceleration (VoA) Imaging." In 2019 IEEE International Ultrasonics Symposium (IUS). IEEE, 2019. http://dx.doi.org/10.1109/ultsym.2019.8926221.

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Flynn, John, Ron Daigle, Lauren Pflugrath, and Peter Kaczkowski. "High framerate vector velocity blood flow imaging using a single planewave transmission angle." In 2012 IEEE International Ultrasonics Symposium. IEEE, 2012. http://dx.doi.org/10.1109/ultsym.2012.0079.

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Ovod, Vladimir I., Christopher R. Baxter, Mark A. Massie, Nicholas I. Rummelt, and Paul L. McCarley. "FPGA-based processor for high framerate target detection on cluttered backgrounds using LVASITMsensors." In Defense and Security Symposium, edited by Bjørn F. Andresen, Gabor F. Fulop, and Paul R. Norton. SPIE, 2006. http://dx.doi.org/10.1117/12.666798.

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Wu, Yingnan, Cancan Zeng, Jingyu Zhang, Gaobo Xiao, and Mingjun Ren. "Bayesian inference based high framerate stereo matching and its application in robot manipulation." In 2019 IEEE 9th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER). IEEE, 2019. http://dx.doi.org/10.1109/cyber46603.2019.9066612.

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