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Discerning nonrigid 3D shapes from motion cues

A. Jain, Q. Zaidi
2011 Proceedings of the National Academy of Sciences of the United States of America  
The empirical and computational results of this study argue against the use of rigidity assumptions in extracting 3D shape from motion and for the primacy of motion deformations computed from motion shears  ...  Surprisingly, the abilities of observers to correctly infer nonrigid volumetric shapes from motion cues have not been measured, and structure from motion models predominantly use variants of rigidity assumptions  ...  This work was supported by National Eye Institute Grants EY07556 and EY13312 (to Q.Z.).  ... 
doi:10.1073/pnas.1016211108 pmid:21205884 pmcid:PMC3029717 fatcat:dgdf2i3rk5egffak4w25bv7nmu

Optimal shape and motion of undulatory swimming organisms

G. Tokic, D. K. P. Yue
2012 Proceedings of the Royal Society of London. Biological Sciences  
Undulatory swimming animals exhibit diverse ranges of body shapes and motion patterns and are often considered as having superior locomotory performance.  ...  hydrodynamical, structural and novel muscular model.  ...  between F musc and neural activity [15] [16] [17] as was done in previous studies [9] [10] [11] [12] .  ... 
doi:10.1098/rspb.2012.0057 pmid:22456876 pmcid:PMC3385469 fatcat:3oycqnccl5apxn54ifrpfmiwpy

The shape of motion perception: Global pooling of transformational apparent motion

M. F. Tang, J. E. Dickinson, T. A. W. Visser, M. Edwards, D. R. Badcock
2013 Journal of Vision  
Few studies have, however, systematically examined how TAM relates to conventional low-level motion-energy systems.  ...  In TAM, smooth apparent motion is perceived when shapes in certain spatiotemporal arrangements change. It has been argued that TAM relies on a separate high-level form-motion system.  ...  Acknowledgments This work was supported by Australian Research Council grants DP130102580 to DRB, DP110104553 to DRB and ME, and DP120102313 to TAWV.  ... 
doi:10.1167/13.13.20 pmid:24259672 fatcat:bnrj7lkqknhqzleiwbbltrskqy

Sensory memory of structure-from-motion is shape-specific

Alexander Pastukhov, Jana Füllekrug, Jochen Braun
2013 Attention, Perception & Psychophysics  
Specifically, we generated SFM objects with different threedimensional shapes and presented them in random order and with intervening blank periods.  ...  Here, we investigated perceptual priming for the apparent rotation in depth of ambiguous structure-from-motion (SFM) displays.  ...  Neural substrates of sensory memory The neural substrates of sensory memory for ambiguous appearance have been studied in several situations.  ... 
doi:10.3758/s13414-013-0471-8 pmid:23673611 fatcat:475qn5k75bfergwaiqhycsbsfq

Contrasting accounts of direction and shape perception in short-range motion: Counterchange compared with motion energy detection

Joseph Norman, Howard Hock, Gregor Schöner
2014 Attention, Perception & Psychophysics  
Human observers' ability to discriminate motion direction and use coherent motion information to segregate a region of a random cinematogram and determine its shape was tested; they performed better in  ...  The further advantage of counterchange, as compared with motion energy, detection for the perception of spatial shape-and depth-from-motion is discussed.  ...  Consequently, empirical evidence for asymmetry in motion and shape perception between the same-and inverted-polarity stimuli would indicate that motion perception was not determined solely by motion energy  ... 
doi:10.3758/s13414-014-0650-2 pmid:24634030 fatcat:k5fja6ocgjckxcygjpdjikzc7m

Global shape coding for motion-defined radial-frequency contours

Stéphane J.M. Rainville, Hugh R. Wilson
2005 Vision Research  
But while lowlevel and high-level mechanisms involved in shape-from-motion have been studied extensively, intermediate computational stages remain poorly understood.  ...  In the present study, we used motion-defined radial-frequency contours-or motion RFs-to probe intermediate stages involved in the computation of motion-defined shape.  ...  Acknowledgments We thank the Natural Sciences and Engineering Research Council of Canada (grant OP227224) and the National Institute of Health (grant EY002158) for their support.  ... 
doi:10.1016/j.visres.2005.06.033 pmid:16099014 fatcat:274puamutnbf5ld4iytfmaoc2m

Symmetries in stimulus statistics shape the form of visual motion estimators

J. E. Fitzgerald, A. Y. Katsov, T. R. Clandinin, M. J. Schnitzer
2011 Proceedings of the National Academy of Sciences of the United States of America  
The estimation of visual motion has long been studied as a paradigmatic neural computation, and multiple models have been advanced to explain behavioral and neural responses to motion signals.  ...  of sensory inputs influence perception and shape neural encoding of auditory (1) , somatosensory (2) , and visual stimuli (3) .  ... 
doi:10.1073/pnas.1015680108 pmid:21768376 pmcid:PMC3150910 fatcat:xnii7dlpx5dxbb2qb3ywwet35a

Creatures great and SMAL: Recovering the shape and motion of animals from video [article]

Benjamin Biggs, Thomas Roddick, Andrew Fitzgibbon, Roberto Cipolla
2018 arXiv   pre-print
We present a system to recover the 3D shape and motion of a wide variety of quadrupeds from video.  ...  The system is tested on animal videos from several species, and shows accurate reconstructions of 3D shape and pose.  ...  Although the dataset is perhaps insufficient in size to train deep neural networks, the variety in animal shape and pose renders it suitable for evaluating quadruped joint prediction methods.  ... 
arXiv:1811.05804v1 fatcat:palpx4lb3vh3bau7l2ursgicdy

Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video [article]

Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao
2022 arXiv   pre-print
To address this problem, we propose a motion pose and shape network (MPS-Net) to effectively capture humans in motion to estimate accurate and temporally coherent 3D human pose and shape from a video.  ...  Learning to capture human motion is essential to 3D human pose and shape estimation from monocular video.  ...  In the attention map, red indicates a higher attention value, and blue indicates a lower one. which mainly rely on recurrent neural network (RNN) or convolutional neural network (CNN) to model temporal  ... 
arXiv:2203.08534v1 fatcat:sp2oxin5trajhfiinraxc3gadq

A comparison of colour, shape, and flash induced illusory line motion

Jeff P. Hamm
2017 Attention, Perception & Psychophysics  
(ILM; colour ILM and shape ILM, respectively).  ...  The results suggest that while colour ILM and shape ILM reflect a common illusion, flash ILM arises for a different reason.  ...  is well modelled by that function, can vary study to study.  ... 
doi:10.3758/s13414-016-1269-2 pmid:28054275 fatcat:cn7x5vq62zantm5gg53dcj35qa

A Shape-Aware Retargeting Approach to Transfer Human Motion and Appearance in Monocular Videos [article]

Thiago L. Gomes and Renato Martins and João Ferreira and Rafael Azevedo and Guilherme Torres and Erickson R. Nascimento
2021 arXiv   pre-print
The formulation leverages the user body shape into the retargeting while considering physical constraints of the motion in 3D and the 2D image domain.  ...  Our method is validated in several experiments, comprising publicly available videos of actors with different shapes, motion types, and camera setups.  ...  The authors thank CAPES, CNPq, and FAPEMIG for funding this work. We also thank NVIDIA for the donation of a Titan XP GPU used in this research.  ... 
arXiv:2103.15596v2 fatcat:them7wrlvfchpgy36mtxmfzm2q

Towards a unified perspective of object shape and motion processing in human dorsal cortex

Gennady Erlikhman, Gideon P. Caplovitz, Gennadiy Gurariy, Jared Medina, Jacqueline C. Snow
2018 Consciousness and Cognition  
We also highlight the role of dorsal cortex in form-motion interaction and spatiotemporal integration, possible functional relationships between 3-D shape and motion processing, and how these processes  ...  In this article, we review evidence for the unique contribution of object areas of dorsal cortex to three-dimensional (3-D) shape representation, the localization of objects in space, and in guiding reaching  ...  (grant numbers 1632849 and 1632738).  ... 
doi:10.1016/j.concog.2018.04.016 pmid:29779844 pmcid:PMC6433144 fatcat:cehhc2vvmvhv3ftrrsea6cbd5y

Articulated deformable structure approach to human motion segmentation and shape recovery from an image sequence

Peter Boyi Zhang, Yeung Sam Hung
2018 IET Computer Vision  
The aim of this study is to perform motion segmentation and three-dimensional shape recovery of a dynamic human body from an image sequence.  ...  Finally, the blend-shape method is applied to model local deformations of each individual subset.  ...  of approximately rigid subsets; (b) blend-shape modelling of local deformations, based on physically meaningful shape basis enabling shape-based regularisation; and (c) computationally efficient motion  ... 
doi:10.1049/iet-cvi.2018.5365 fatcat:bjw3wy6aybbzxg6ly6s4mefobi

Review of the Book "Mind in Motion: How Action Shapes Thought" by Barbara Tversky, Basic Books, New York, 2019

Vladik Kreinovich
2020 Journal of Intelligent & Fuzzy Systems  
These are interesting questions to study. The most efficient way is combining images and words.  ...  This probably explains the empirical success of symmetric triangular membership functions which are indeed characterized by two parameters: center and width, and of a similar 2-parametric family of Gaussian  ... 
doi:10.3233/jifs-189308 fatcat:2ag2sllrxjfb5db6vc54tmzvcu

Attraction to Motion

2005 PLoS Biology  
But since few scientists have tested these models with empirical data, the question remained whether the models were accurately predicting population fl uctuations and extinction risk.  ...  With this new model, researchers can investigate the motion-specifi c features that guide the chicks' behavior and how the brain processes biological motion.  ... 
doi:10.1371/journal.pbio.0030251 fatcat:slr6oq2j5nap5pstfjhsxc4k2y
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