Spatiotemporal energy models for the perception of motion, Journal of the Optical Society of America A, vol.2, issue.2, pp.284-299, 1985. ,
DOI : 10.1364/JOSAA.2.000284
A database and evaluation methodology for optical flow, International Conference on Computer Vision, ICCV'07, pp.1-8, 2007. ,
A Database and Evaluation Methodology for Optical Flow, International Journal of Computer Vision, vol.27, issue.3, pp.1-31, 2011. ,
DOI : 10.1007/s11263-010-0390-2
Performance of optical flow techniques, International Journal of Computer Vision, vol.54, issue.1, pp.43-77, 1994. ,
DOI : 10.1007/BF01420984
Disambiguating Visual Motion Through Contextual Feedback Modulation, Neural Computation, vol.15, issue.2, pp.2041-2066, 2004. ,
DOI : 10.1017/S0952523800006386
A fast biologically inspired algorithm for recurrent motion estimation. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.29, issue.2 4, pp.246-260, 2007. ,
Interactions of motion and form in visual cortex ??? A neural model, Journal of Physiology-Paris, vol.104, issue.1-2, pp.61-70, 2010. ,
DOI : 10.1016/j.jphysparis.2009.11.005
URL : https://hal.archives-ouvertes.fr/hal-00331597
STRUCTURE AND FUNCTION OF VISUAL AREA MT, Annual Review of Neuroscience, vol.28, issue.1, pp.157-189, 2005. ,
DOI : 10.1146/annurev.neuro.26.041002.131052
Neural Mechanisms of Motion Detection, Integration, and Segregation: From Biology to Artificial Image Processing Systems, special issue on Biologically inspired signal processing: Analysis, algorithms, and applications, 2011. ,
DOI : 10.1016/S0042-6989(99)00055-3
URL : https://hal.archives-ouvertes.fr/hal-00784429
Velocity computation in the primate visual system, Nature Reviews Neuroscience, vol.19, issue.9, pp.686-695, 2008. ,
DOI : 10.1038/nrn2472
Lucas/Kanade Meets Horn/Schunck: Combining Local and Global Optic Flow Methods, International Journal of Computer Vision, vol.61, issue.3, pp.211-231, 2005. ,
DOI : 10.1023/B:VISI.0000045324.43199.43
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.129.7916
A Naturalistic Open Source Movie for Optical Flow Evaluation, Proceedings of the 12th European Conference on Computer Vision -Volume Part VI, ECCV'12, pp.611-625, 2012. ,
DOI : 10.1007/978-3-642-33783-3_44
Fundamental mechanisms of visual motion detection: models, cells and functions, Progress in Neurobiology, vol.68, issue.6, pp.409-437, 2002. ,
DOI : 10.1016/S0301-0082(02)00154-5
A functional and perceptual signature of the second visual area in primates, Nature Neuroscience, vol.28, issue.7, pp.974-981, 2013. ,
DOI : 10.3758/BF03194544
Neural dynamics of form perception: Boundary completion, illusory figures, and neon color spreading., Psychological Review, vol.92, issue.2, pp.173-211, 1985. ,
DOI : 10.1037/0033-295X.92.2.173
Optical flow using spatiotemporal filters, International Journal of Computer Vision, vol.300, issue.5892, pp.279-302, 1988. ,
DOI : 10.1007/BF00133568
Determining optical flow, Artificial Intelligence, vol.17, issue.1-3, pp.185-203, 1981. ,
DOI : 10.1016/0004-3702(81)90024-2
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.185.1651
Adaptive Surround Modulation in Cortical Area MT, Neuron, vol.53, issue.5, pp.761-770, 2007. ,
DOI : 10.1016/j.neuron.2007.01.032
Dynamics of Visual Motion Processing: Neuronal, Behavioral, and Computational Approaches. SpringerLink: Springer e-Books, 2010. ,
DOI : 10.1007/978-1-4419-0781-3
Image features from phase congruency Videre: A Journal of Computer Vision Research, 1999. ,
An iterative image registration technique with an application to stereo vision, International Joint Conference on Artificial Intelligence, pp.674-679, 1981. ,
Neural Coding of Uncertainty and Probability, Annual Review of Neuroscience, vol.37, issue.1, pp.205-220, 2014. ,
DOI : 10.1146/annurev-neuro-071013-014017
Functional properties of neurons in middle temporal visual area of the macaque monkey. I. selectivity for stimulus direction, speed, and orientation, Journal of Neurophysiology, vol.49, issue.5 8, pp.1127-1147, 1983. ,
The analysis of visual moving patterns. Pattern recognition mechanisms, pp.117-151, 1985. ,
Biological image motion processing: A review, Vision Research, vol.25, issue.5, pp.625-660, 1984. ,
DOI : 10.1016/0042-6989(85)90171-3
Advancement of motion psychophysics: Review, Journal of Vision, vol.11, issue.511 4, pp.1-53, 2001. ,
Higher Order Visual Processing in Macaque Extrastriate Cortex, Physiological Reviews, vol.88, issue.1, pp.59-89, 2008. ,
DOI : 10.1152/physrev.00008.2007
Maximum likelihood estimation of cascade point-process neural encoding models, Network: Computation in Neural Systems, vol.15, issue.4, pp.243-262, 2004. ,
DOI : 10.1088/0954-898X_15_4_002
Information processing with population codes, Nature Reviews Neuroscience, vol.1, issue.2, pp.125-132, 2000. ,
DOI : 10.1038/35039062
Statistically Efficient Estimation Using Population Coding, Neural Computation, vol.16, issue.6, pp.373-401, 1998. ,
DOI : 10.1038/370140a0
The neural representation of speed in macaque area MT/V5, Journal of Neuroscience, vol.23, issue.13 6, pp.5650-5661, 2003. ,
Information rates and optimal decoding in large neural populations, NIPS, pp.846-854, 2011. ,
A model of neural mechanisms in monocular transparent motion perception, Journal of Physiology-Paris, vol.104, issue.1-2, pp.71-83, 2010. ,
DOI : 10.1016/j.jphysparis.2009.11.010
URL : https://hal.archives-ouvertes.fr/hal-00331556
How MT cells analyze the motion of visual patterns, Nature Neuroscience, vol.15, issue.11, pp.1421-1431, 2006. ,
DOI : 10.1016/j.neuron.2005.05.021
How MT cells analyze the motion of visual patterns, Nature Neuroscience, vol.15, issue.11, pp.1421-1431, 2006. ,
DOI : 10.1016/j.neuron.2005.05.021
Preserving accurate motion contours with reliable parameter selection, 2014 IEEE International Conference on Image Processing (ICIP), pp.209-213, 2014. ,
DOI : 10.1109/ICIP.2014.7025041
Contrast's effect on spatial summation by macaque V1 neurons, Nature Neuroscience, vol.2, issue.8, pp.733-739, 1999. ,
DOI : 10.1038/11197
Adaptive filtering enhances information transmission in visual cortex, Nature, vol.135, issue.7079, pp.936-942, 2006. ,
DOI : 10.1038/nature04519
A model of neuronal responses in visual area MT, Vision Research, vol.38, issue.5, pp.743-761, 1998. ,
DOI : 10.1016/S0042-6989(97)00183-1
What can we expect from a classical v1-mt feedforward architecture for optical flow estimation? Signal Processing: Image Communication, p.12, 2015. ,
Modelling the dynamics of motion integration with a new luminance-gated diffusion mechanism, Vision Research, vol.50, issue.17, pp.1676-1692, 2004. ,
DOI : 10.1016/j.visres.2010.05.022
URL : https://hal.archives-ouvertes.fr/inria-00360277
Neural mechanisms of form and motion processing in the primate visual system, Neuron, vol.13, issue.1, pp.1-10, 1994. ,
DOI : 10.1016/0896-6273(94)90455-3
Adventures with gelatinous ellipses ? constraints on models of human motion analysis. Perception, pp.543-566, 2000. ,
Slow and smooth: A Bayesian theory for the combination of local motion signals in human vision, Center for Biological and Computational Learning Paper, 1998. ,