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Home » Archives for Michael Piacentino
Michael Piacentino

Michael Piacentino

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Publications

Computational sensing-low-power processing publications March 18, 2022

Real-Time Hyper-Dimensional Reconfiguration at the Edge using Hardware Accelerators

Gooitzen van der Wal, David Zhang, Michael Piacentino, Michael A. Isnardi

In this paper we present Hyper-Dimensional Reconfigurable Analytics at the Tactical Edge using low-SWaP embedded hardware that can perform real-time reconfiguration at the edge leveraging non-MAC deep neural nets (DNN) combined with hyperdimensional (HD) computing accelerators.

Computational sensing-low-power processing publications April 1, 2021 Conference Paper

Hyper-Dimensional Analytics of Video Action at the Tactical Edge

Michael A. Isnardi, David Zhang, Michael Piacentino, Gooitzen van der Wal

We review HyDRATE, a low-SWaP reconfigurable neural network architecture developed under the DARPA AIE HyDDENN (Hyper-Dimensional Data Enabled Neural Network) program. 

Computer vision publications June 1, 2013

Low-Light NV-CMOS Image Sensors for Day/Night Imaging

John R. Tower, Gooitzen van der Wal, Michael Piacentino

SRI’s new NV-CMOS™ image sensor technology is designed to capture images over the full range of illumination from bright sunlight to overcast starlight.

Computational sensing-low-power processing publications June 1, 2013

An Embedded Vision Services Framework for Heterogeneous Accelerators

Gooitzen van der Wal, Michael Piacentino

This paper describes an architecture framework using heterogeneous hardware accelerators for embedded vision applications.

Computer vision publications May 1, 2013

Motion Adaptive Signal Integration-High Dynamic Range (MASI-HDR) Video Processing for Dynamic Platforms

Michael Piacentino, David Zhang

SRI’s MASI-HDR (Motion Adaptive Signal Integration-High Dynamic Range) is a novel technique for generating blur-reduced video using multiple captures for each displayed frame while increasing the effective camera dynamic range by four bits or more.

Computational sensing-low-power processing publications April 1, 2012

Extended Motion Adaptive Signal Integration Technique for Real-Time Image Enhancement

David Zhang, Michael Piacentino

We propose a Motion Adaptive Signal Integration (MASI) algorithm that operates the sensor at a high frame rate, with real time alignment of individual image frames to form an enhanced quality video output.

Information & computer science publications May 1, 2008 Conference Paper

Overcoming Adverse Weather Conditions with a Common Optical Path, Multiple Sensors, and Intelligent Image Fusion System

Michael Piacentino

This paper introduces an engineering prototype to address the image collection challenges using a Common Optical Path, Multiple Sensors and an Intelligent Image Fusion System, and provides illustrations and sample fusion images.

Information & computer science publications April 1, 1999 Conference Paper

Reconfigurable Elements for a Video Pipeline Processor

Michael Piacentino, Gooitzen van der Wal

This paper describes a family of reconfigurable processing elements (RPEs) used to support video processing for the Sarnoff Vision Front End 200 (VFE-200) vision system.

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