Supervisor:Dr. Mikhail Mikhail

Advisor:Dr. Mohamed

Moustafa

RandaEwada

SamahAhmed

AliEl-Sheikh Mena

Zaki

AhmedEl-Hassafy

NermineAbdel-Salam

Hi, I’m InigatorI Never Get Lost!

In the End ,We Tend To

Remember the Beginnings…

Inspiration:

Quick Scenario

Problem to solve?

I just can’t get there…

Tell me the class you’re in & I’ll come get you!

Problem?

I don’t even know where am I?

How about a photo?

. .

Problem?

Now I’ll just go through my album

and find you!

How about a photo?

SSE Building,4th row, first column,

Ah! That’s to the right of the

architecture labs

How we actually did it?

Map Generation

To navigate, we need

For each image, we give it exact location

Created a database of all the names of the images and their locations (so once user get a match, we find his/her exact location

Navigate user from the detected current location to destination

Navigation

Find shortest path

Show path for the user to follow

Tracking

Train the computer to be smart

Collect images

Extract interest points

Make Inverted file index (each interest point exist in which images)

Give it an image to match

Extract interest points in the query image

For each interest point increase counter of existing images

Image with the max number is our first best match

Interface

Interface: Options

Interface: Choice Was To Take a Picture

1 2 3 4

Interface: Choice Was To Enter Class/office Number

1 2 3

Challenges Faced

Different images in terms of illumination, scaling, and occlusion

Accuracy (Trade off between number of interest points and speed)

Scaling (mapping)

Set exact location of an image

integration between process of image matching and navigation

offline vs online files reading (use a server )

Future Work

Automatize

Adding images by the users to the server and adding the nearest node for each image

Adding maps to the server and importing them in the application

Looking at several possible paths at once

Dynamic map generation

Dynamic image collection

Gps switch mode when outdoors

Demo

Accuracy

What we promised to deliver:

Robust image matcher

Indoor navigation app

Hardware independent application

What we delivered

Robust image matcher

Indoor navigation app

Hardware independent application

Reach the things that you can’t

see!

Thank you for your attention

Questions?