Asynchronous Event-Based Binocular Stereo Matching
暂无分享,去创建一个
Tobi Delbrück | Ryad Benosman | Patrick Lichtsteiner | Sio-Hoi Ieng | Paul Rogister | P. Lichtsteiner | T. Delbrück | R. Benosman | S. Ieng | P. Rogister
[1] G. Bard Ermentrout,et al. Synchronization in a pool of mutually coupled oscillators with random frequencies , 1985 .
[2] Ryad Benosman,et al. Asynchronous Event-Based Hebbian Epipolar Geometry , 2011, IEEE Transactions on Neural Networks.
[3] Tianyou Chai,et al. Nonlinear multivariable adaptive control using multiple models and neural networks , 2007, Autom..
[4] Daniel Matolin,et al. A QVGA 143dB dynamic range asynchronous address-event PWM dynamic image sensor with lossless pixel-level video compression , 2010, 2010 IEEE International Solid-State Circuits Conference - (ISSCC).
[5] Tomaso Poggio,et al. Cooperative computation of stereo disparity , 1988 .
[6] Håkan Hjalmarsson,et al. How to Make Bias and Variance Errors Insensitive to System and Model Complexity in Identification , 2011, IEEE Transactions on Automatic Control.
[7] F. Werblin,et al. Rapid global shifts in natural scenes block spiking in specific ganglion cell types , 2003, Nature Neuroscience.
[8] Meng Joo Er,et al. Dynamic fuzzy neural networks-a novel approach to function approximation , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[9] Frederic Devernay,et al. A Variational Method for Scene Flow Estimation from Stereo Sequences , 2007, 2007 IEEE 11th International Conference on Computer Vision.
[10] Giacomo Indiveri,et al. A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity , 2006, IEEE Transactions on Neural Networks.
[11] M. Abeles. Role of the cortical neuron: integrator or coincidence detector? , 1982, Israel journal of medical sciences.
[12] William R. Softky,et al. The highly irregular firing of cortical cells is inconsistent with temporal integration of random EPSPs , 1993, The Journal of neuroscience : the official journal of the Society for Neuroscience.
[13] Friedhelm Schwenker,et al. Three learning phases for radial-basis-function networks , 2001, Neural Networks.
[14] Jacek M. Zurada,et al. RBF-based neurodynamic nearest neighbor classification in real pattern space , 2006, Pattern Recognit..
[15] George W. Irwin,et al. A Novel Continuous Forward Algorithm for RBF Neural Modelling , 2007, IEEE Transactions on Automatic Control.
[16] Bertram E. Shi,et al. A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell , 2003, NIPS.
[17] Guang-Bin Huang,et al. Neuron selection for RBF neural network classifier based on data structure preserving criterion , 2005, IEEE Transactions on Neural Networks.
[18] Youmin Zhang,et al. A revisit to block and recursive least squares for parameter estimation , 2004, Comput. Electr. Eng..
[19] Tobi Delbrück,et al. Improved ON/OFF temporally differentiating address-event imager , 2004, Proceedings of the 2004 11th IEEE International Conference on Electronics, Circuits and Systems, 2004. ICECS 2004..
[20] George W. Irwin,et al. A fast nonlinear model identification method , 2005, IEEE Transactions on Automatic Control.
[21] Pedro Antonio Gutiérrez,et al. Logistic Regression by Means of Evolutionary Radial Basis Function Neural Networks , 2011, IEEE Transactions on Neural Networks.
[22] Kang Li,et al. A two-stage algorithm for identification of nonlinear dynamic systems , 2006, Autom..
[23] Christoph Sulzbachner,et al. Bio-inspired Stereo Vision System with Silicon Retina Imagers , 2009, ICVS.
[24] Eugenio Culurciello,et al. Activity-driven, event-based vision sensors , 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.
[25] Karim Salahshoor,et al. Affine modeling of nonlinear multivariable processes using a new adaptive neural network-based approach , 2009 .
[26] Michael Isard,et al. Estimating disparity and occlusions in stereo video sequences , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[27] George W. Irwin,et al. Fast Forward RBF Network Construction Based on Particle Swarm Optimization , 2010, LSMS/ICSEE.
[28] Tobi Delbrück,et al. Cooperative Stereo Matching Using Static and Dynamic Image Features , 1989, Analog VLSI Implementation of Neural Systems.
[29] T. Delbruck,et al. > Replace This Line with Your Paper Identification Number (double-click Here to Edit) < 1 , 2022 .
[30] J. Bullier. Integrated model of visual processing , 2001, Brain Research Reviews.
[31] Michael J. Berry,et al. The Neural Code of the Retina , 1999, Neuron.
[32] Najla Megherbi Bouallagu,et al. Object Recognition using 3D SIFT in Complex CT Volumes , 2010, BMVC.
[33] Junfei Qiao,et al. An efficient self-organizing RBF neural network for water quality prediction , 2011, Neural Networks.
[34] Minglun Gong. Enforcing Temporal Consistency in Real-Time Stereo Estimation , 2006, ECCV.
[35] Hans Knutsson,et al. Signal processing for computer vision , 1994 .
[36] Li Zhang,et al. Spacetime stereo: shape recovery for dynamic scenes , 2003, 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2003. Proceedings..
[37] Jun Wu,et al. Nonlinear system modeling and predictive control using the RBF nets-based quasi-linear ARX model☆ , 2009 .
[38] Kamesh Subbarao,et al. Direction-Dependent Learning Approach for Radial Basis Function Networks , 2007, IEEE Transactions on Neural Networks.
[39] John K. Tsotsos,et al. Applying temporal constraints to the dynamic stereo problem , 1986, Comput. Vis. Graph. Image Process..
[40] Leszek Rutkowski,et al. A fast training algorithm for neural networks , 1998 .
[41] Allen M. Waxman,et al. Binocular Image Flows: Steps Toward Stereo-Motion Fusion , 1986, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] James J. Carroll,et al. Approximation of nonlinear systems with radial basis function neural networks , 2001, IEEE Trans. Neural Networks.
[43] Kwabena Boahen,et al. Synchrony in Silicon: The Gamma Rhythm , 2007, IEEE Transactions on Neural Networks.
[44] Misha A. Mahowald,et al. An Analog VLSI System for Stereoscopic Vision , 1994 .
[45] T. Poggio,et al. A generalized ordering constraint for stereo correspondence , 1984 .
[46] Nor Ashidi Mat Isa,et al. Modified Recursive Least Squares algorithm to train the Hybrid Multilayered Perceptron (HMLP) network , 2010, Appl. Soft Comput..
[47] 日本自動制御協会,et al. システムと制御 = Systems and control , 1971 .
[48] Carlo Tomasi,et al. Good features to track , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.
[49] Zhihong Man,et al. A New Adaptive Backpropagation Algorithm Based on Lyapunov Stability Theory for Neural Networks , 2006, IEEE Transactions on Neural Networks.
[50] Junfei Qiao,et al. A Repair Algorithm for Radial Basis Function Neural Network and its Application to Chemical oxygen Demand Modeling , 2010, Int. J. Neural Syst..
[51] Tobi Delbrück,et al. A 128$\times$ 128 120 dB 15 $\mu$s Latency Asynchronous Temporal Contrast Vision Sensor , 2008, IEEE Journal of Solid-State Circuits.
[52] Okyay Kaynak,et al. The fusion of computationally intelligent methodologies and sliding-mode control-a survey , 2001, IEEE Trans. Ind. Electron..
[53] Misha Anne Mahowald,et al. VLSI analogs of neuronal visual processing: a synthesis of form and function , 1992 .
[54] Ricardo Carelli,et al. Autonomous mobile robots navigation using RBF neural compensator , 2011 .
[55] Vincenzo Piuri,et al. A Hierarchical RBF Online Learning Algorithm for Real-Time 3-D Scanner , 2010, IEEE Transactions on Neural Networks.