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Scalable computation of streamlines on very large datasets

Dave Pugmire, Hank Childs, Christoph Garth, Sean Ahern, Gunther H. Weber
2009 Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis - SC '09  
Streamlines, curves that are tangential to a vector field at each point, are a powerful visualization method in this context.  ...  We perform performance and scalability studies of all three algorithms on a number of prototypical application problems and demonstrate that our hybrid scheme is able to perform well in different settings  ...  Though Load On Demand performs closely to Hybrid Master/Slave from a time point of view, it spends an order of magnitude more time in I/O for both seed point initial conditions.  ... 
doi:10.1145/1654059.1654076 dblp:conf/sc/PugmireCGAW09 fatcat:dpu6ute6avamtap25g6lvyepb4

Marker-Less 3D Feature Tracking for Mesh-Based Human Motion Capture [chapter]

Edilson de Aguiar, Christian Theobalt, Carsten Stoll, Hans-Peter Seidel
2007 Lecture Notes in Computer Science  
By using the paths of the 3D points as constraints in a fast mesh deformation approach, we can directly animate a static human body scan such that it performs the same motion as the captured subject.  ...  We present a novel algorithm that robustly tracks 3D trajectories of features on a moving human who has been recorded with multiple video cameras.  ...  Acknowledgments This work is supported by EC within FP6 under Grant 511568 with the acronym 3DTV and AIM@SHAPE, a Network of Excelence  ... 
doi:10.1007/978-3-540-75703-0_1 fatcat:lmlfdvvyubhffauxwfqmahpml4

Hybrid stereo camera

Harpreet S. Sawhney, Yanlin Guo, Keith Hanna, Rakesh Kumar, Sean Adkins, Samuel Zhou
2001 Proceedings of the 28th annual conference on Computer graphics and interactive techniques - SIGGRAPH '01  
We propose a Hybrid Stereo Camera concept in which one view is rendered at the target high resolution but the other is rendered at a much lower resolution.  ...  In this work, we present a restricted form of IBR in which lower resolution images for the views to be generated at a very high resolution are assumed to be available.  ...  Paragano and Doug Corliss of Sarnoff Corp.  ... 
doi:10.1145/383259.383312 dblp:conf/siggraph/SawhneyGHKAZ01 fatcat:fmmkr3ov35davgd4z7kil6enei

Texture Advection on Stream Surfaces: A Novel Hybrid Visualization Applied to CFD Simulation Results [article]

Robert S. Laramee, Christoph Garth, Jürgen Schneider, Helwig Hauser
2006 EUROVIS 2005: Eurographics / IEEE VGTC Symposium on Visualization  
flow through a cooling jacket.  ...  We apply the visualization technique to various patterns of flow from CFD data important to automotive engine simulation including two patterns of in-cylinder flow (swirl and tumble motion) as well as  ...  All CFD simulation data shown in this paper has been provided courtesy of AVL. For readers interested in discussing collaborative research ideas, please contact the first author.  ... 
doi:10.2312/vissym/eurovis06/155-162 fatcat:cggamurbabgkrlrhgk4jsbxphm

On the Evaluation of Scene Flow Estimation [chapter]

Philippos Mordohai
2012 Lecture Notes in Computer Science  
We begin by classifying methods that estimate depth, motion or both from multi-view sequences according to their parameterization of shape and motion.  ...  This paper surveys the state of the art in evaluating the performance of scene flow estimation and points out the difficulties in generating benchmarks with ground truth which have not allowed the development  ...  [54] evaluated the accuracy of their algorithm over long sequences (90 frames) on a small number of points manually clicked on two images for each time frame.  ... 
doi:10.1007/978-3-642-33868-7_15 fatcat:3nybdqv6rzfxxkca4kqr4nehqe

Pix2Point: Learning Outdoor 3D Using Sparse Point Clouds and Optimal Transport [article]

Rémy Leroy, Pauline Trouvé-Peloux, Frédéric Champagnat, Bertrand Le Saux, Marcela Carvalho
2021 arXiv   pre-print
Our method relies on a 2D-3D hybrid neural network architecture, and a supervised end-to-end minimisation of an optimal transport divergence between point clouds.  ...  In this paper, we address the problem of learning outdoor 3D point cloud from monocular data using a sparse ground-truth dataset.  ...  A generative flow-based model allowing single view object point cloud prediction has recently been proposed with C-flow [18] .  ... 
arXiv:2107.14498v1 fatcat:qkgnuiqrozcv3o7cjvqaukzr4m

Stereo Hybrid Event-Frame (SHEF) Cameras for 3D Perception [article]

Ziwei Wang, Liyuan Pan, Yonhon Ng, Zheyu Zhuang, Robert Mahony
2021 arXiv   pre-print
This paper proposes a stereo hybrid event-frame (SHEF) camera system that offers a sensor modality with separate high-quality pure event and pure frame cameras, overcoming the limitations of each separate  ...  We provide a SHEF dataset targeted at evaluating disparity estimation algorithms and introduce a stereo disparity estimation algorithm that uses edge information extracted from the event stream correlated  ...  To provide a visualisation of the results, we plot the 3D point cloud from the computed disparity (D p ) in Fig. 5 , with point colour taken from the frame image.  ... 
arXiv:2110.04988v1 fatcat:4xfm2m4cvrh2bktlsctn2xlyky

Local Segmentation for Pedestrian Tracking in Dense Crowds [chapter]

Clement Creusot
2014 Lecture Notes in Computer Science  
People tracking in dense crowds is challenging due to the high levels of inter-pedestrian occlusions occurring continuously.  ...  We then detail a fast segmentation-based method to overcome some aspects of the tracking-under-occlusion problem. We finally compare our results with two existing tracking methods.  ...  To our knowledge it is the first temporally dense real video segmentation ground-truth available for a crowded scene.  ... 
doi:10.1007/978-3-319-04114-8_23 fatcat:p6p34yrzmzd5dlc4ssbxkyucea

Scale Selection in SIFT Flow for Robust Dense Image Matching [chapter]

Shimiao Li, Wei Xiong
2013 Lecture Notes in Computer Science  
SIFT flow is a method to align an image to its neighbors in a large image collection consisting of a variety of scenes.  ...  Originally proposed for cross-scene alignment, it has good potential for robust dense matching between images of a scene taken under large viewing condition changes.  ...  SIFT flow, proposed by Liu et al [3] , is a hybrid approach in which SIFT feature descriptors are extracted on densely sampled grid.  ... 
doi:10.1007/978-3-319-03731-8_10 fatcat:3rmglsg7lbfz7locbiv4buecby

Classification Of Association Item Sets From Large Data Sets Based On User Awareness Using Hybrid

2019 International Journal of Engineering and Advanced Technology  
in real time data sets.  ...  So that in this paper, we propose Advanced & Hybrid Machine Learning Approach (AHMLA) for effective data analysis of different associated attributes of high dimensional data.  ...  That is the reason coordinating a programmed metaphysics development module in our instrument is one of our important points of view.  ... 
doi:10.35940/ijeat.f1201.0886s19 fatcat:dcqxpjokevbtzk5ffwdpgau7bq

Hybrid modelling of non-rigid scenes from RGBD cameras

Charles Malleson, Jean-Yves Guillemaut, Adrian Hilton
2018 IEEE transactions on circuits and systems for video technology (Print)  
V) Output: 4D dynamic scene model RGB images Depth maps Raw surfel graph (from optical/scene flow point tracks) Piecewise surfel graph (graph cuts-based part segmentation, motion and shape estimation)  ...  This paper introduces a framework for representation of general dynamic scenes from video plus depth acquisition.  ...  A core aspect of temporally consistent modelling is obtaining correspondences of surface points over time. Analogous to 2D optical flow between two RGB images (e.g.  ... 
doi:10.1109/tcsvt.2018.2863027 fatcat:ydefxrbxn5h75acnl33ektzv3u

A Note on the Transport Method for Hybrid Inverse Problems [article]

Francis J. Chung, Jeremy G. Hoskins, John C. Schotland
2019 arXiv   pre-print
This short note presents an alternate proof of the same result from a dynamical systems point of view.  ...  It follows from an argument of Guillaume Bal and Kui Ren that for any nontrivial choices of u_1 and u_2, this method suffices to recover the coefficients on a dense set in Ω.  ...  In several hybrid inverse problems involving equations of this type, we can take advantage of physical phenomena to recover the solution u to (1.1) for a given boundary condition f , without a priori knowledge  ... 
arXiv:1910.04809v2 fatcat:evudtg2lvreqho7kgihwaak6fa

A Survey on Deep Learning for Localization and Mapping: Towards the Age of Spatial Machine Intelligence [article]

Changhao Chen, Bing Wang, Chris Xiaoxuan Lu, Niki Trigoni, Andrew Markham
2020 arXiv   pre-print
A wide range of topics are covered, from learning odometry estimation, mapping, to global localization and simultaneous localization and mapping (SLAM).  ...  Benefiting from ever-increasing volumes of data and computational power, these methods are fast evolving into a new area that offers accurate and robust systems to track motion and estimate scenes and  ...  Acknowledgments This work is supported by the EPSRC Project "ACE-OPS: From Autonomy to Cognitive assistance in Emergency OPerationS" (Grant Number: EP/S030832/1).  ... 
arXiv:2006.12567v2 fatcat:snb2byqamfcblauw5lzccb7umy

High Energy-Density QCD Matter

Steffen A. Bass
2012 Progress of Theoretical Physics Supplement  
views and case for the sQGP 1) and the second one detailing the experimental results of the first three years of RHIC operations. 2) Over the past couple of years, and with the advent of additional high-precision  ...  What is the structure of the initial state? 2. How does the system thermalize on a short time-scale?  ...  Our knowledge on the transport coefficients of hot and dense QCD matter (including the QGP) has improved significantly over the past few years.  ... 
doi:10.1143/ptps.193.53 fatcat:ecafokzkvnbpxbfa4to4khsjge

An Optical Flow using SVD for Video based Fluid Animation

HaengA An, Jinho Park
2015 International Journal of Multimedia and Ubiquitous Engineering  
We generate optical flow for fluid movements using a groundbreaking optical flow estimation method which is the combination of Lucas/Kanade and Horn/Schunck to achieve the best of the local and global  ...  This paper proposes a novel optical flow method using SVD(Singular Value Decomposition) for extracting flow velocity field included in an input video.  ...  Lucas Optical flow methods have a common assumption: Grey values of image objects in subsequent frames do not change over time.  ... 
doi:10.14257/ijmue.2015.10.9.38 fatcat:shwpyiadxfhsffjrxraxff6mte
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