In “OpenCV in embedded systems: a performance insight , ” Marco Di Vivo and Lorenzo Vangelista at the University of Padova in Italy and Michele Bevilacqua and Ivan Vecchiato from Embedia s.r.l.,describe an OpenCV-based algorithm running on a NEON enabled ARM-A8 processor based platform which has the task of finding an object in a picture, identifying its key visual features and looking it up in a database stored either locally or remotely on a server.
By using the OpenCV library, they were able to reduce the matching time needed to view the object in the picture and then accessing the database to identify it to a level that they think makes it acceptable for the real time usage of their application, which is to be ported for use on commercial mobile phone platforms.
You must verify your email address before signing in. Check your email for your verification email, or enter your email address in the form below to resend the email.
Please confirm the information below before signing in.
{* #socialRegistrationForm *}
{* firstName *}
{* lastName *}
{* displayName *}
{* emailAddress *}
By clicking "Sign In", you confirm that you accept our terms of service and have read and understand privacy policy.
{* /socialRegistrationForm *}
Almost Done
Please confirm the information below before signing in. Already have an account? Sign In.