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Cognitive computing - which learns to do useful computational tasks from data, rather than by being programmed explicitly - represents a fundamentally new form of computing. Unfortunately, Deep Neural Networks (DNNs) learn from repeated exposure to huge datasets, which currently requires extensive computation capabilities (such as many GPUs) working together over days or weeks of time. To accelerate...
Neuromorphic computing takes inspiration from the brain to build highly parallel, energy- and area-efficient architectures. Recently, hardware realizations of neurons and synapses using memristive devices were proposed and applied for the task of correlation detection. However, for weakly correlated signals, this task becomes challenging because of the variability and the asymmetric conductance response...
Neuromorphic systems provide biologically inspired methods of computing, alternative to the classical von Neumann approach. In these systems, computation is performed by a network of spiking neurons controlled by the values of their synaptic weights, which are updated in the process of learning. Providing efficient synaptic learning rules, such as spike-timing-dependent plasticity (STDP), is a challenging...
Optical flow calculation algorithms are hard to implement on hardware level in real-time due to their complexity and high computational load. In this work, we present a novel hierarchical block matching based optical flow algorithm. The algorithm estimates the initial optical flow with block matching based methods, and refines the vectors with local smoothness constraints in each hierarchy level....
Hardware security in server, client, mobile and embedded systems is becoming increasingly critical, especially with the rapid growth of the Internetof- Everything (IoE). Security threats and vulnerabilities for all hardware components must be addressed. This forum brings together chip designers and system architects to discuss: (1) design, hardware and logistics attack challenges, as well as advanced...
Live results obtained from the first real-time high-resolution free viewpoint synthesis hardware that utilizes three-camera disparity estimation are presented. The proposed hardware generates high-quality free viewpoint video at 55 frames per second on a Virtex-7 FPGA at a 1024×768 XGA video resolution for any horizontally-aligned arbitrary camera positioned between the leftmost and rightmost physical...
The recent development of high-quality free viewpoint synthesis algorithms and their implementations allows to realize glasses-free 3D perception. Although many algorithms have been developed in this domain, the real-time hardware realization of a free viewpoint synthesis for real-world images is challenging due to its high computational load and memory bandwidth requirements. In this paper, the first...
This paper proposes a hardware-oriented trinocular adaptive window size disparity estimation (T-AWDE) algorithm and the first real-time trinocular disparity estimation (DE) hardware that targets high-resolution images with high-quality disparity results. The proposed trinocular DE hardware is the enhanced version of the recently published binocular AWDE implementation. The T-AWDE hardware generates...
An edge-detection scheme suitable for machine vision and digital motion detection applications is presented. The scheme is inspired by the human visual system (human retina) and modified for a compact and scalable CMOS hardware implementation. In addition, pixel circuit and implementation of the scheme on a CMOS focal-plane are proposed and simulation results are presented. The circuit performs thresholding...
A novel compressive sampling scheme suitable for highly scalable hardware implementations is presented. The scheme utilizes an identical pseudo-random sequence for every image column, therefore reducing in-pixel hardware complexity and allowing measurement matrix generation in a single clock cycle. As a result, high frame rates and low power consumption are achievable with an acceptable reduction...
Omnidirectional stereoscopy and depth estimation are complex problems of image processing to which the Panoptic camera offers a novel solution. The Panoptic camera is a biologically-inspired vision sensor made of multiple cameras. It is a polydioptric system mimicking the eyes of flying insects where multiple imagers, each with a distinct focal point, are distributed over a hemisphere. Recently, the...
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