Results 21 to 30 of about 190,256 (265)
Deriving Ocean Surface Drift Using Multiple SAR Sensors
Tracking and monitoring ocean features which have short coherent time periods from sequential satellite images requires that the images have both very high spatial resolutions and short temporal sampling intervals (i.e., repeated cycles).
Ming-Kuang Hsu, Antony K. Liu
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Asynchronous event feature generation and tracking based on gradient descriptor for event cameras
Recently, the event camera has become a popular and promising vision sensor in the research of simultaneous localization and mapping and computer vision owing to its advantages: low latency, high dynamic range, and high temporal resolution.
Ruoxiang Li +4 more
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This work was supported in part by the R+I+D Ph.D. scholarship of Universidad Pontificia Bolivariana and Colciencias (Colombia), the projects of the Spanish Ministry of Science and Innovation DRIMS (MICINN-TIN2009-14247-C02-01), SIGMUS (MINECO-TIN2012-36650) and Mires (EC-7PM-MIReS), and in part by the Media Arts and Technologies project (MAT), NORTE ...
José Ricardo Zapata +2 more
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Sea ice drift strongly influences sea ice thickness distribution and indirectly controls air-sea ice-ocean interactions. Estimating sea ice drift over a large range of spatial and temporal scales is therefore needed to characterize the properties of sea ...
Anton Andreevich Korosov, Pierre Rampal
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Color and Motion Features Fusion Tracking Based on Game Theory [PDF]
Aiming at the problem that single feature is hard to adapt to complex scene changes,a multi-feature fusion algorithm is proposed.Based on the Mean Shift(MS) tracking framework,this paper regards the color feature and motion feature characterized by ...
JIN Zefenfen,HOU Zhiqiang,YU Wangsheng,WANG Xin
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Deep Probabilistic Feature-Metric Tracking [PDF]
Dense image alignment from RGB-D images remains a critical issue for real-world applications, especially under challenging lighting conditions and in a wide baseline setting. In this paper, we propose a new framework to learn a pixel-wise deep feature map and a deep feature-metric uncertainty map predicted by a Convolutional Neural Network (CNN), which
Binbin Xu 0001 +2 more
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The role of feature tracking in the furrow illusion
In the furrow illusion (Anstis, 2012), the perceived path of a moving target follows the veridical path orientation when viewed foveally, but follows the orientation of the texture when viewed peripherally.
Rémy eAllard, Jocelyn eFaubert
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Background and objectives: Non-invasive imaging of the heart has an important place in the diagnosis and management of pulmonary arterial hypertension (PAH).
Lina Padervinskiene +9 more
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BackgroundPrompt interventions prevent adverse events (AE) in hypertrophic cardiomyopathy (HCM). We evaluated the pattern and the predictive role of feature tracking (FT)-cardiac magnetic resonance (CMR) imaging parameters in an HCM population with a ...
Alireza Salmanipour +7 more
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InSARTrac Field Tests—Combining Computer Vision and Terrestrial InSAR for 3D Displacement Monitoring
InSARTrac is an innovative method for 3D displacement monitoring that combines terrestrial interferometric synthetic aperture radar (InSAR) and computer vision-based feature tracking.
Christoph Zambanini +2 more
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