Dense velocity reconstruction with VIC-based time-segment assimilation
نویسندگان
چکیده
Abstract The vortex-in-cell time-segment assimilation (VIC-TSA) method is introduced. A particle track obtained from a finite number of successive time samples the tracer’s position and velocity can be used for reconstruction on Cartesian grid. Similar to VIC + technique, makes use paradigm produce estimates flow state at locations times other than measured ones. working principle requires time-resolved measurements particles’ during interval. work investigates effects assimilated length spatial resolution field reconstruction. hypotheses VIC-TSA are presented here along with numerical algorithm its application tracks datasets. novel parameter governing chosen data assimilation. Three regimes operation identified, based geometrical distance between neighbouring tracks. regime adjacent arguably provides optimal trade-off computational effort. evaluated first by exercise; 3D sine wave lattice reconstructed different values particles concentration. modulation appears reduce (cut-off delay) when increased. Large-scale PIV experiments in wake circular cylinder Re d = 27,000 evaluate method’s suitability real data, including noise outliers. Both primary vortex structures Kármán as well interconnecting ribs present this complex field, typical diameter close average inter-particle distance. When increased beyond, more regular dependence local Lagrangian properties observed, confirming accurate sparse data. Graphical abstract
منابع مشابه
Real-Time Large-Scale Dense 3D Reconstruction with Loop Closure
In the highly active research field of dense 3D reconstruction and modelling, loop closure is still a largely unsolved problem. While a number of previous works show how to accumulate keyframes, globally optimize their pose on closure, and compute a dense 3D model as a post-processing step, in this paper we propose an online framework which delivers a consistent 3D model to the user in real tim...
متن کاملAssimilation of Time - averaged Pseudoproxies for Climate 1 Reconstruction
4 We examine the efficacy of a novel ensemble data assimilation (DA) technique in climate field 5 reconstructions (CFR) of surface temperature. We perform four pseudoproxy experiments 6 with both general circulation model (GCM) and 20th Century Reanalysis (20CR) data by 7 reconstructing surface temperature fields from a sparse network of noisy pseudoproxies. We 8 compare the DA approach to a co...
متن کاملDense Structure-from-Motion: An Approach Based on Segment Matching
For 3-D video applications, dense depth maps are required. We present a segment-based structure-from-motion technique. After image segmentation, we estimate the motion of each segment. With knowledge of the camera motion, this can be translated into depth. The optimal depth is found by minimizing a suitable error norm, which can handle occlusions as well. This method combines the advantages of ...
متن کاملReconstruction of Dense Correspondences
This chapter concentrates on dense image correspondence estimation with a special focus on stereo. Images are the basic input for a vast majority of algorithms dealing with the reconstruction of the real world. To analyze a scene from a collection of images it becomes inevitable to put these images into correspondence. These correspondences then form the basis for many subsequent analyses, incl...
متن کاملReal-Time GPU Implementation of Correlation-Based Dense Matching of Stereo Endoscopic Images for Surface Reconstruction
Robot-assisted surgeries benefit from the availability of a stereo endoscopic camera to provide the surgeon with a 3D view of the surgical scene. This intra-operative imaging modality also enables the reconstruction of 3D soft-tissue surface, which is a prerequisite for many clinical applications such as image-guidance with cross-modality registration, telestration, expansion of the surgical sc...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Experiments in Fluids
سال: 2022
ISSN: ['0723-4864', '1432-1114']
DOI: https://doi.org/10.1007/s00348-022-03437-2