Modification and hardware implementation of cortex-like object recognition model

[1]  David G. Lowe,et al.  University of British Columbia. , 1945, Canadian Medical Association journal.

[2]  Pietro Perona,et al.  Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.

[3]  Reza Ebrahimpour,et al.  A Resource-Limited Hardware Accelerator for Convolutional Neural Networks in Embedded Vision Applications , 2017, IEEE Transactions on Circuits and Systems II: Express Briefs.

[4]  Ralph Etienne-Cummings,et al.  Fast Neuromimetic Object Recognition Using FPGA Outperforms GPU Implementations , 2013, IEEE Transactions on Neural Networks and Learning Systems.

[5]  T. Poggio,et al.  Hierarchical models of object recognition in cortex , 1999, Nature Neuroscience.

[6]  D. Hubel,et al.  Receptive fields and functional architecture of monkey striate cortex , 1968, The Journal of physiology.

[7]  Narayanan Vijaykrishnan,et al.  System-On-Chip for Biologically Inspired Vision Applications , 2012, IPSJ Trans. Syst. LSI Des. Methodol..

[8]  Thomas Serre,et al.  Robust Object Recognition with Cortex-Like Mechanisms , 2007, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[9]  Xiaoliang Xu,et al.  Visual Pattern Recognition Using Enhanced Visual Features and PSD-Based Learning Rule , 2018, IEEE Transactions on Cognitive and Developmental Systems.

[10]  Mohammad Reza Daliri,et al.  An enhanced HMAX model in combination with SIFT algorithm for object recognition , 2020, Signal Image Video Process..

[11]  Vaibhav Karkare,et al.  A 75-µW, 16-Channel Neural Spike-Sorting Processor With Unsupervised Clustering , 2011, IEEE Journal of Solid-State Circuits.

[12]  Gian Domenico Licciardo,et al.  Design of a Gabor Filter HW Accelerator for Applications in Medical Imaging , 2018, IEEE Transactions on Components, Packaging and Manufacturing Technology.

[13]  Narayanan Vijaykrishnan,et al.  Hardware Acceleration for Neuromorphic Vision Algorithms , 2013, J. Signal Process. Syst..

[14]  Myo-Taeg Lim,et al.  B-HMAX: A fast binary biologically inspired model for object recognition , 2016, Neurocomputing.

[15]  Dan Roth,et al.  Learning to detect objects in images via a sparse, part-based representation , 2004, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[16]  D. Hubel,et al.  Receptive fields, binocular interaction and functional architecture in the cat's visual cortex , 1962, The Journal of physiology.