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A Naturalistic Open Source Movie for Optical Flow Evaluation [chapter]

Daniel J. Butler, Jonas Wulff, Garrett B. Stanley, Michael J. Black
2012 Lecture Notes in Computer Science  
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

Andrew K. Fishell, Tracy M. Burns-Yocum, Karla M. Bergonzi, Adam T. Eggebrecht, Joseph P. Culver
2019 Scientific Reports  
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]

Jonas Wulff, Daniel J. Butler, Garrett B. Stanley, Michael J. Black
2012 Lecture Notes in Computer Science  
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

Benjamin Drayer, Thomas Brox
2015 Procedings of the British Machine Vision Conference 2015  
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

Saurabh Sonkusare, Michael Breakspear, Tianji Pang, Vinh Thai Nguyen, Sascha Frydman, Christine Cong Guo, Matthew J. Aburn
2021 Scientific Reports  
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)

Dennis Eckmeier, Roland Kern, Martin Egelhaaf, Hans-Joachim Bischof
2013 Frontiers in Integrative Neuroscience  
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

Nikolaus Mayer, Eddy Ilg, Philip Hausser, Philipp Fischer, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2016 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)  
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

Lauren Marussich, Kun-Han Lu, Haiguang Wen, Zhongming Liu
2017 NeuroImage  
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?

Nikolaus Mayer, Eddy Ilg, Philipp Fischer, Caner Hazirbas, Daniel Cremers, Alexey Dosovitskiy, Thomas Brox
2018 International Journal of Computer Vision  
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

Hendrik Mandelkow, Jacco A. de Zwart, Jeff H. Duyn
2016 Frontiers in Human Neuroscience  
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

Manuela Chessa, Guido Maiello, Peter J. Bex, Fabio Solari
2016 Journal of Vision  
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]

Martin A. Spacek, Gregory Born, Davide Crombie, Steffen Katzner, Laura Busse
2019 bioRxiv   pre-print
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

Heiko Hecht, Mediarep.Org
2021 Image  
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

Lowell Thompson, Mohan Ji, Bas Rokers, Ari Rosenberg
2019 Journal of Vision  
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]

Jason J Ki, Jacek P Dmochowski, Jonathan Touryan, Lucas C Parra
2021 bioRxiv   pre-print
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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