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A Naturalistic Open Source Movie for Optical Flow Evaluation
[chapter]
2012
Lecture Notes in Computer Science
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We introduce a new optical flow data set derived from the open source 3D animated short film Sintel. ...
Because the graphics data that generated the movie is open source, we are able to render scenes under conditions of varying complexity to evaluate where existing flow algorithms fail. ...
Roosendaal for his assistance. We also thank O. Broscaru and J. Anning for creating the evaluation website. MJB and GBS were supported in part by NSF CRCNS Grant IIS-0904630. ...
doi:10.1007/978-3-642-33783-3_44
fatcat:clxg5ymr3beo5bhwbjdnv4qpvy
Mapping brain function during naturalistic viewing using high-density diffuse optical tomography
2019
Scientific Reports
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In this work, the combination of passive movie viewing with high-density diffuse optical tomography (HD-DOT) is developed as a platform for naturalistic brain mapping. ...
The rich complexity inherent in naturalistic stimuli demands an imaging system capable of measuring spatially distributed brain responses, and analysis tools optimized for unmixing responses to concurrently ...
Acknowledgements The authors would like to thank the participants in the naturalistic viewing experiments, as well as Ashley ...
doi:10.1038/s41598-019-45555-8
pmid:31366956
pmcid:PMC6668456
fatcat:dpjoj7z5v5gipgadeqvxmvcc7m
Lessons and Insights from Creating a Synthetic Optical Flow Benchmark
[chapter]
2012
Lecture Notes in Computer Science
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With the MPI-Sintel Flow dataset, we introduce a naturalistic dataset for optical flow evaluation derived from the open source CGI movie Sintel. ...
Several changes to the rendering software and animation files were necessary in order to produce data for flow evaluation and similar changes are likely for future efforts to construct a scientific dataset ...
Roosendaal for his assistance. MJB and GBS were supported in part by NSF CRCNS Grant IIS-0904630. ...
doi:10.1007/978-3-642-33868-7_17
fatcat:tn3vhlmhmbcyvefy6yjjnwywzq
Combinatorial Regularization of Descriptor Matching for Optical Flow Estimation
2015
Procedings of the British Machine Vision Conference 2015
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The first row shows the overlaid input frames, the matching step (red arrows=high error, blue=low error) and the estimated optical flow using Deep Flow [5]. ...
Our refinement improves at several position (note the fewer erroneous flow vectors and the denser field). ...
A naturalistic open source movie for optical flow evaluation.
] J. Revaud, P. Weinzaepfel, Z. Harchaoui, and C. Schmid. EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow. ...
doi:10.5244/c.29.42
dblp:conf/bmvc/DrayerB15
fatcat:d6i5vk7yn5gwvd7zepu3xtj374
Data-driven analysis of facial thermal responses and multimodal physiological consistency among subjects
2021
Scientific Reports
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movie. ...
We then show significant correlation of all the physiological responses across subjects, including the thermal signals, suggesting common dynamic shifts in emotional state induced by the movie. ...
Discussion We sought to develop a new data-driven method for facial thermal imaging analysis and introduced novel application of optic flow for motion correction and that of sICA. ...
doi:10.1038/s41598-021-91578-5
pmid:34103607
fatcat:5pcmnzzwufbtfeklccqv4a2k4m
Encoding of naturalistic optic flow by motion sensitive neurons of nucleus rotundus in the zebra finch (Taeniopygia guttata)
2013
Frontiers in Integrative Neuroscience
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We presented simplified and naturalistic optic flow on a panoramic LED display while recording from single neurons in nucleus rotundus of anaesthetized zebra finches. ...
Simplified stimuli revealed preferences for optic flow reflecting translational or rotational self-motion. ...
For fast moving animals with only short ranged stereo vision, such as flying insects and birds, optic flow is the main source for depth information . ...
doi:10.3389/fnint.2013.00068
pmid:24065895
pmcid:PMC3778379
fatcat:yx2w7og5q5d2hp3vihsxbrmi4m
A Large Dataset to Train Convolutional Networks for Disparity, Optical Flow, and Scene Flow Estimation
2016
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
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Recent work has shown that optical flow estimation can be formulated as a supervised learning task and can be successfully solved with convolutional networks. ...
Our datasets are the first large-scale datasets to enable training and evaluating scene flow methods. ...
MPI Sintel [2] is an entirely synthetic dataset derived from a short open source animated 3D movie. It provides dense ground truth for optical flow. ...
doi:10.1109/cvpr.2016.438
dblp:conf/cvpr/MayerIHFCDB16
fatcat:okgccilwlbf2pd2phi4ltsbiry
Mapping white-matter functional organization at rest and during naturalistic visual perception
2017
NeuroImage
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In this study, we investigated the spatiotemporal characteristics of fMRI data within the white matter acquired from humans in the resting state or watching a naturalistic movie. ...
Relative to the resting state, the visual task specifically induced a stronger degree of temporal coherence within the optic radiations, as well as significant correlations between the optic radiations ...
Acknowledgments The research was supported in part by NIH R01MH104402 (Z Liu, PI), and a predoctoral fellowship to Lauren Marussich as supported by TL1 TR001107 and UL1 TR001108 (A. ...
doi:10.1016/j.neuroimage.2016.10.005
pmid:27720819
pmcid:PMC5321894
fatcat:sgjfm4uhcjfmlfhmd7ikcivrei
What Makes Good Synthetic Training Data for Learning Disparity and Optical Flow Estimation?
2018
International Journal of Computer Vision
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2018 pre-print arXiv:1801.06397v2 fatcat:5jumqmhg55bypnjdbarnbn2yfiOther Versions
Yet, for many computer vision problems, such as stereo or optical flow estimation, this approach is not feasible because humans cannot manually enter a pixel-accurate flow field. ...
In this paper, we promote the use of synthetically generated data for the purpose of training deep networks on such tasks.We suggest multiple ways to generate such data and evaluate the influence of dataset ...
Moreover, the approach does not scale arbitrarily due to the limited availability of open source movies. ...
doi:10.1007/s11263-018-1082-6
fatcat:pko3jsec5bcqhgqlxwa23by2fi
Linear Discriminant Analysis Achieves High Classification Accuracy for the BOLD fMRI Response to Naturalistic Movie Stimuli
2016
Frontiers in Human Neuroscience
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large number of naturalistic visual stimuli presented as a movie. ...
In light of these results, the combination of naturalistic movie stimuli and classification analysis in fMRI experiments may prove to be a sensitive tool for the assessment of changes in natural cognitive ...
ACKNOWLEDGMENTS Great thanks for fantastic volunteer management and scan support go to Steven Newman and Susan Guttman. Likewise, the authors thank Dr. Catie Chang for inspiring discussions. ...
doi:10.3389/fnhum.2016.00128
pmid:27065832
pmcid:PMC4815557
fatcat:hbuyeuwv2zc2pjv6o72ycx3g7q
A space-variant model for motion interpretation across the visual field
2016
Journal of Vision
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The log-polar transform of the retinal image is the input to the cortical motion-estimation stage, where optic flow is computed by a three-layer neural population. ...
The first-order description of cortical optic flow is derived from the responses of the adaptive templates. ...
of optic flow is derived. ...
doi:10.1167/16.2.12
pmid:27580091
fatcat:mvmdl5eluvh6zoiqx2cxqcnik4
Robust effects of cortical feedback on thalamic firing mode during naturalistic stimulation
[article]
2019
bioRxiv
pre-print
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Compared to these robust effects for naturalistic movies, CT feedback effects were less consistent for simple grating stimuli. ...
Here, we find that CT feedback robustly modulates responses to naturalistic movie clips by increasing response gain and promoting tonic firing mode. ...
Movies were filmed close to 530 the ground in a variety of wooded or grassy locations in Vancouver, BC, and contained little 531 to no forward/backward optic flow, but did contain simulated gaze shifts ...
doi:10.1101/776237
fatcat:25ls6cpwpzcb5cihgjqmqu76gm
Film as dynamic event perception: Technological development forces realism to retreat
2021
Image
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Movies will only be caught in this role until a superior medium – maybe virtual reality environments – becomes mainstream. ...
I extend this position by claiming that it is a basic human need to always have one medium that stands for the quintessential way to pictorially render reality. ...
Acknowledgements I am grateful for the inspiring discussions and helpful hints provided by Joseph Anderson, Bettina Friedl and Robert Schwartz. ...
doi:10.25969/mediarep/16685
fatcat:2rrh2sibjnhcvhf72jgr7pxrze
Contributions of binocular and monocular cues to motion-in-depth perception
2019
Journal of Vision
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The stimuli were matched for eccentricity and speed, suggesting that this variability has a neural basis. ...
Here we measured sensitivity to binocular, monocular, and combined cue MID stimuli using a motion coherence paradigm. ...
Fulvio for assistance with data collection and analysis. This work was supported by Google Daydream, the Whitehall Foundation (2016-08-18), and the National Institutes of Health (EY029438). ...
doi:10.1167/19.3.2
pmid:30836382
pmcid:PMC6402382
fatcat:aznjhuryx5csrd2ypyxd7jhvq4
Neural responses to natural visual motion are spatially selective across the visual field, with selectivity differing across brain areas and task
[article]
2021
bioRxiv
pre-print
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While spatial selectivity and the effects of spatial attention are well-understood for discrete tasks (e.g., visual cueing paradigms), little is known about neural response during a naturalistic visual ...
Specifically, we measure the correlation strength of scalp evoked potentials with optical flow magnitude at individual locations on the screen. ...
Acknowledgments We thank Bart Krekelberg, Timothy Elmore, Jay Edelman, Simon Kelly for comments on earlier versions of this manuscript. This study was supported by a grant from the U.S. ...
doi:10.1101/2021.03.05.434148
fatcat:funoi4x5ffgs3bncaem3gjz5je
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