Exploring Gabor Filter Implementations for Visual Cortex Modeling on FPGA

Cho, Yong Cheol Peter; Bae, Sangwoo; Jin, Yongseok; Irick, Kevin; Narayanan, Vijaykrishnan

doi:10.1109/fpl.2011.63

Cited by 10 publications

(4 citation statements)

References 13 publications

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“…A filterbank design for 2D discrete wavelet transforms was presented in [17]. Gabor filterbank implementations appear in [18,19]. The work in [19] details the implementation of a separable/nonseparable Gabor filterbank (using DSP slices) for modeling simple cells.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Gabor filterbank implementations appear in [18,19]. The work in [19] details the implementation of a separable/nonseparable Gabor filterbank (using DSP slices) for modeling simple cells. The authors in [20] described an interesting static architecture for particle filters that, by tuning buffer parameters and interconnection switches, allowed run-time modification of the number of particles (trading off accuracy and performance) and the degree of parallelism (trading off power and performance).…”

Section: Background and Related Workmentioning

confidence: 99%

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A Self-Reconfigurable Platform for the Implementation of 2D Filterbanks with Real and Complex-Valued Inputs, Outputs, and Filter Coefficients

Llamocca

Pattichis

2014

VLSI Design

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We introduce a dynamically reconfigurable 2D filterbank that supports both real and complex-valued inputs, outputs, and filter coefficients. This general purpose filterbank allows for the efficient implementation of 2D filterbanks based on separable 2D FIR filters that support all possible combinations of input and output signals. The system relies on the use of dynamic reconfiguration of real/complex one-dimensional filters to minimize the required hardware resources. The system is demonstrated using an equiripple and a Gabor filterbank and the results using both real and complex-valued input images. We summarize the performance of the system in terms of the required processing times, energy, and accuracy.

show abstract

Section: Background and Related Workmentioning

confidence: 99%

Section: Background and Related Workmentioning

confidence: 99%

A Self-Reconfigurable Platform for the Implementation of 2D Filterbanks with Real and Complex-Valued Inputs, Outputs, and Filter Coefficients

Llamocca

Pattichis

2014

VLSI Design

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“…Based on the spatial and memory functions of the hippocampus and its spatial navigation function, Aggarwal et al developed a mathematical model of hippocampal structure, and then implemented the model on the circuit [13]. Cho et al modeled the behavior of simple cells of the visual cortex by using Gabor functions and implemented the mapping in hardware [14].…”

Section: Introductionmentioning

confidence: 99%

Design and Simulation of a Hierarchical Parallel Distributed Processing Model for Orientation Selection Based on Primary Visual Cortex

Wei

et al. 2023

Biomimetics

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The study of the human visual system not only helps to understand the mechanism of the visual system but also helps to develop visual aid systems to help the visually impaired. As the systematic study of neural signal processing mechanisms in early biological vision continues, the hierarchical structure of the visual system is gradually being dissected, bringing the possibility of building brain-like computational models from a bionic perspective. In this paper, we follow the objective facts of neurobiology and propose a parallel distributed processing computational model of primary visual cortex orientation selection with reference to the complex process of visual signal processing and transmission between the retina to the primary visual cortex, the hierarchical receptive field structure between cells in each layer, and the very fine-grained parallel distributed characteristics of cortical visual computation, which allow for high speed and efficiency. We approach the design from a brain-like chip perspective, map our network model on the field programmable gate array (FPGA), and perform simulation experiments. The results verify the possibility of implementing our proposed model with programmable devices, which can be applied to small wearable devices with low power consumption and low latency.

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“…A neuroscientific viewpoint reveals that Gabor filters is the approach with a higher biological plausibility [74] [75] [76] [77]. In this way, images are represented by a sinusoidal function moved in depth and the wavelength of any sinusoidal shape pattern can be detected and recognised.…”

Section: A Feature Extractionmentioning

confidence: 99%

Object Detection and Recognition for Assistive Robots: Experimentation and Implementation

Martínez-Martín

Pobil

2017

IEEE Robot. Automat. Mag.

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Abstract-Technological advances are currently being directed to assist the human population in performing ordinary tasks in everyday settings. In this context, a key issue is the interaction with objects of varying size, shape and degree of mobility. Consequently, autonomous assistive robots must be provided with the ability to process visual data in real time so that they can react adequately for quickly adapting to changes in the environment. Reliable object detection and recognition is usually a necessary early step to achieve this goal. In spite of significant research achievements, this issue still remains a challenge when real-life scenarios are considered. In this paper, we present a vision system for assistive robots that is able to detect and recognise objects from a visual input in ordinary environments in real time. The system computes colour, motion and shape cues combining them in a probabilistic manner to accurately achieve object detection and recognition, taking some inspiration from vision science. In addition, with the purpose of processing the input visual data in real-time, a Graphical Processing Unit (GPU) has been employed. The presented approach has been implemented and evaluated on a humanoid robot torso located at realistic scenarios. For further experimental validation, a public image repository for object recognition has been used, allowing a quantitative comparison with respect to other state-of-the-art techniques when real-world scenes are considered. Finally, a temporal analysis of the performance is provided with respect to image resolution and number of target objects in the scene.

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Exploring Gabor Filter Implementations for Visual Cortex Modeling on FPGA

Cited by 10 publications

References 13 publications

A Self-Reconfigurable Platform for the Implementation of 2D Filterbanks with Real and Complex-Valued Inputs, Outputs, and Filter Coefficients

A Self-Reconfigurable Platform for the Implementation of 2D Filterbanks with Real and Complex-Valued Inputs, Outputs, and Filter Coefficients

Design and Simulation of a Hierarchical Parallel Distributed Processing Model for Orientation Selection Based on Primary Visual Cortex

Object Detection and Recognition for Assistive Robots: Experimentation and Implementation

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