Search by logo

Search by logos use case for Layar Vision Dmitry Namiot dnamiot@gmail.com Lomonosov Moscow State University

Introduction
Our conception shortly:
Search nearby things (places) with the same logo we can recognize via Layar Vision

Example
Here is a typical ATM

Example (cont.)
Each ATM has got bank’s logo

Example (cont.)
Suppose you see ATM that does not work:

Model
How to find more ATMs for the same bank nearby?
Visual geo search – let us use bank’s logo as a key for search
Each search is a typical geo-layer. We just need to know logo (name) for getting to the proper geo-layer

Model
Layar Vision enabled layer is a wrapper for several geo-layers
As soon as the logo is recognized by Layar Vision we can switch to the “standard” geo-layer for this bank
That switch could be performed manually (as an action for the Layar Vision enabled layer response) or simply via auto-trigger (we do not need some special response from Layar Vision enabled layer at all)

The steps are:
Collect logos (two Russian banks in this example)
Upload them to Layar in order to train Layar Vision recognize them
Create “standard” geo-location layer for the each brand (each logo).
Invoke (open) geo-layer in action defined for vision enabled layer

How does it work
Vision enabled layer here is actually just a placeholder for geo-layers
Vision enabled layer can either display the recognized logo + action for switching to the appropriate geo-layer
OR
Vision enabled layer can define auto-trigger for geo-layer associated with the recognized logo

Technical details
We can use one endpoint for all supported requests
By default server side script returns data for vision enabled layer
In the parameterized requests it returns POIs for geo-layers

Conclusion
Visual geo search – go the AR layer after getting the logo recognized
This concept demonstrates search for ATMs by bank’s logo
Could be extended of course to any logo (logos)
Analogue: logo here replaces QR-code with landing to search page

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Search by logo

by Coldbeans Software on Sep 29, 2011

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Search by logo — Presentation Transcript