Finding Yourself With Photo Recognition
itchyfish writes "You are lost in a foreign city, you don't speak the language and you are late for your meeting. What do you do? Take out your cellphone, photograph the nearest building and press send.
For a small fee, photo recognition software on a remote server works out precisely where you are, and sends back directions that will get you to your destination.
Seems a little far fetched, but amazingly cool if it really works."
The software then looks for useful features, such as the corners of windows and doors, and extracts the colours and intensities of the pixels around them. Next, it searches the image database for matching data, using the base station the cellphone's signal came from as a guide. Finally, it uses the differences between the two images to calculate the photographer's position.
To me, it would appear that an easier solution might be to use GIS data in combination with the cell phone signal and comparisons of rough morphological features of buildings. The instructions should simply be: Point your camera at a building near you so that you can approximate its outline and then send that image. This would scale much larger than the methods referenced in the article as you would not have to store every detail of the buildings surrounding you including pixel maps of textures and color. This approach could be handled for a large city by a few commodity servers whereas the other approach would require significantly more computational resources.
Imagine how difficult it would be to capture details like that in a major city such as NYC? I don't really need directions to find my way around Cambridge city center as you could almost throw a rock from the center and hit just about every building around, but London, Washington, Houston etc... are another story and the data required from their approach would require massive computational infrastructure.
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... a GPSr reading and request information about that location, we get this?
Sounds like a solution in search of a problem.
Some problems that I can see with it. What if your in a flat area with no buildings, landmarks, etc? Or even worse, a very rocky, natural area (say something similar to the grand canyon). And even barring those problems, wouldn't GPS just plain be easier? Take the same concept, have the phone grab its GPS location, have you enter the address you want to go, and both pieces of information are sent and the phone gets its route to get you where you want to go (with associated fee). Seems cool, though.
Every house looks the same where I live
If the photo is taken and the data on the server isn't updated very frequently, couldn't items like cars and other movable objects interfere with the location calculation, as it bases it highly off of the details of the location?
Ideally, the much sought after all in one convergence device (fone/pda/etc.) would have built-in GPS, negating the need for this otherwise functionally sound service.
I wouldn't invest to much into this technology, as I think it'll be obsoleted before it comes to fruition.
-PHiZ
Pretend I said something meaningful or insightful here.
I can just image the server's cpu goes up to 100% when I send in a photo of McDonald's.
Is this really necessary? Not everything needs to be so darned tech, you know... maybe we should just get a map and use that.
Where I worked this summer, I had an iPaq with a few software packages installed on it to do GIS tasks. One of the packages was ArcPad from ESRI and the other was StreetMap for ArcPad also from ESRI. When connected to a GPS unit, you could tell ArcPad a destination, and it could either use your current position or one that you entered to calculate driving directions. The accuracy of the maps was amazing, we went out and road tested them (read: drove around with the GPS unit on the truck and compared our path to the roads on the maps) and there was little or no discrepancy between our actual path and the street layer on the PDA. This seems much better than taking a picture of a building that looks like thousands of other buildings in the world. Interesting idea, just not very practial.
... the other way around. If its image database is as large as it would have to be to correctly support this behavior, then I'd like to give it a position and get back a photo so I know what landmarks to look for when I get there, rather than getting lost in the first place.
You are lost in a foreign city, you don't speak the language and you are late for your meeting. What do you do? Take out your cellphone, ...
... get it stolen, and get screwed over the phonebill as well.
what kind of meeting is this, that is hold where you do not know the language, and have no clue to get around, did you parachuted to the meeting but missed the building?
what happened to phrasebooks?
man i'm bitter...
ato
There's a technology, that can take a poorly shot digital photo, and then match it to a database of images of every building in the world, come up with a single match, and then let you know where you are?
Does such a database exist? Could it possibly work without bringing up false positives? I mean, I don't have figures, but there are millions of buildings in any large urban area, and within those millions, they all have multiple sides, and then they all look radically different at different times of day. We're talking storage space that seems like it would be incredibly dificult to manage, let alone search efficiently and return good results from a cell-phone camera image.
Count me as a skeptic.
Turns out the company owns stock in a number of hard drive manufacturers...
How about using mapquest before you leave?
-This sig has been discontinued after a sudden realization.
So if they plan to launch something like this on a national scale, how are they going to get pictures of every nook and corner of every town and keep the database up-to-date. Seems like huge investment and effort and I am not sure how much of such data they can buy from govenrment agencies. Plus lot of construction like apartment communities, etc is done on the basis of same model design. It could definitely get a person lost if the building signature happens to be alike. With high volume, the probability of signature matching increases.
Find the nearest native, start talking and gesturing wildly. Point at a map or street sign and say the name of the place you are looking for. They'll figure it out.
Sorry I just don't see this one.
it asks you to make sure that you get the street sign and a building number in the shot
What if you took a picture of a McDonalds?
Hell, you could be lost for days.
Presumably you first need someone to visit every major city and take photographs of every building... but wait, you need to know the positions that those photographs were taken from, so you need GPS, but if GPS doesn't work because it's sheilded from high buildings...
Obviously a skilled surveyor could work it out, but that transforms this photographing job into a highly skilled position, making it many times more expensive.
If it weren't for that then you could probably pay students 10c a photo.
Guys asking for directions...
This honestly seems pretty far-fetched. If you can't take the time to get directions, chances are that you deserve to die. You know, that whole thing of natural selection:-)
You are lost in a foreign city, you don't speak the language and you are late for your meeting. What do you do?
You start thinking about what the hell is this that is so important that you go to a foreign country to have a meeting where people don't understand your language and you bet all your chances on the assumption that your cellphone will find the carrier that will allow you data transfer without a subscription plan. If the meeting is so important in the foreign land, I would think that you would do little more homework than to just depend on a cameraphone!!
Make sure you take a good picture...of the closest street sign.
sarchasm: The gulf between the author of sarcastic wit and the person who doesn't get it.
I was ranting too much to say it..
This is cool technology, and research into this kind of thing is cool. But it's just not commercial IN THIS FORM.
The best application i can think of is for publishers to be able to find a crappy image using google and then submit it to corbis or any other pro image library and ask for a high quality shot of the same scene... but i'm not that inventive.
If you're meeting with Osama, you'll be right on time.
paintball
By the time I total up dinners, movies, gifts, time and emotional distress, this would be *MUCH* cheaper, convenient, and more portable than having a girlfriend willing to stop and ask for directions.
paintball
Taking "intimate" photos and seeing what building you most resemble.
Boffoonery - downloadable Comedy Benefit for Bletchley Park
The viability of this has got to be pretty poor:
1) The database would have to be huge -- Not every meeting or event that I attend takes place in the city center.
2) Along the same lines, they need to store every face of these buildings.
3) The image processing better be really good at color correction and noise filtering (weather, blurry photos)
4) Wouldn't people just go buy a map?
5) Wouldn't distortions introduced from a cell-phone lens make the system less accurate?
- rabs
How, can a system that doesn't know the difference from your ass and a hole in the ground possibly tell which of the million or so McDonalds restaurants you are at?
... for which we do not yet have an adequate probelm
Mole? 4? Cars?
I'd rather use the phone to call whoever it is I have a meeting with and ask them how to get there. If they don't speak my language, what'm I doing meeting with them in the first place?
I'm wondering what the alternate uses of this technology might be, because I just can't see this as being a common problem. Could it actually be designed, say, for a missle to target a landmark by sight?
And to think I've been using street signs when I could of just photographed a building.
Quite insightful, jea6. The practical application for this technology that the article was predicated upon are silly, and you proved it elegantly: all urban areas have street signs and text recognition is loads easier that the sort of computer vision proof-of-concept being described.
That last bit is what the article is really reporting on--research into intelligent computer vision. The fact that this research is being applied to giving walking directions to stupid humans has far more to do with securing funding than anything else. In other words, if you see people snapping digital photos of office buildings in the near future, you can continue to report them to the Office of Homeland Security.
My other
Q: You are lost in a foreign city, you don't speak the language and you are late for your meeting. What do you do?
A: Do just like all of the other PHBs who were stupid enough to get stuck like that, i.e. screw the meeting, find the nearest bar, and start blowing the company expense account on cheap booze and hookers.
In Soviet Russia, Chuck Norris will still kick your ass.
This seems like an overly complicated solution. At the moment, my phone in Japan has a feature where I logon to Vodafone's website (from the phone) and click through a couple of links and then it tells me where I am. I assume it gets this information by figuring out which cell the phone is dialing from. From the subsequent menus, there are various options like "find the last train to station X", "find the nearest place to catch a taxi", and so on. A few months ago it was only available in Japanese, but now they've introduced a bilingual version - hoochie mamma.
Why bother using the fancy-dancy image recognition software when cellular telephony has a built-in system that basically acts like a constantly-updated "user location" variable?
(Actually, the answer is simple - to make geeks foam at the mouth. Come on now people!! Excess ain't rebellion.)
--
...Whether my Maker is prepared for the great ordeal of meeting me is another matter.
Churchill
2. GPS has only 10m accuracy. This is important when you're giving pedestrians directions (eg cross the street and enter the second door on your right).
And how will this improve on 10m accuracy? Will you have to submit your camera lens's focal length as well in order to determine the distance from the photographed objects? Humans generally can't tell the difference between a 20mm lens photographing at 40m vs. a 35mm lens at 70m but this software can supposedly get 1m accuracy levels? I very much doubt this.
Want to improve your Karma? Instead of "Post Anonymously", try the "Post Humously" option.
...and within minutes there is a SWAT team all around your party.
*** Turns out your buddy was flagged for a terrorist. ***
darn.
party over.
but, it was a computer mismatch.
great.
and, you got a map of your location.
party on!
You're in a foreign country, where the people don't speak your language, and you're late for a meeting with some murderous thugs you've been tasked with removing from the gene pool.
What do you do?
You pull out your night-vision goggles, target a nearby heap of rubble that used to be one of Saddam's "palaces." The goggles lock onto the complex geometric shapes and this information is automatically transmitted to a massive cluster of Cray's in New Jersey on loan from the NSA. Using state of the art satellite x-ray photography and next-generation neural-net AI (NGNNAI), your precise location is calculated and relayed back to you, all at the price of only 3 million dollars an hour. What, you didn't think it was the energizer bunny keeping all those Cray's up an running did you?
Lee
Muslim community leaders warn of backlash from tomorrow morning's terrorist attack.
I think this is cool. Although the implementation for humans does not make sense. For Robots to navigate this opens a whole new dimension. What stops you from adding the inside of buildings to the database. Sure GPS is accurate but with this you can be even more accurate. Put the data in a distributed database to solve the workload.
Here in the UK, try this. Get your cell phone (or mobile as we say here) dial 2580.
Hold the phone up to the radio till it gets disconnected.
Wait.
A text message will arrive with the name of the song.
It costs about 50p. Disclaimer i do not work for or have any involvment in this venture, except friends who built it.
Official GOD FAQ.
Reminds me of when I (from Sweden) was lost in St Petersburg. I thought that I had made pereparations to find the way back to the hotel. But I had the russian word for "subway" writen down on my note instead of the name of the subway station near the hotel.
I eventually found my hotel again.
For a nice date: Call strftime(3C)!
Dear All,
Wow! Thank you very much for all your comments on this mobile phone navigation system. I thought I'd throw in my 2 cents worth since I'm one of the people who invented it! Forgive the lack of structure in what follows, but I'm trying to address several different issues raised throughout this discussion...
Yes, another way of doing this is radio signal triangulation (including GPS). But actually, this method doesn't work too well in cities because of things like multipath effects and satellite visibility (BTW our system isn't designed to work outside urban environments). GPS car navigation systems rely on a combination of GPS and inertial sensors, i.e. they take a sort of average of a large number of inaccurate readings to get a good fix on position. But the simpler positioning strategies are unlikely to give good enough acccuracy to establish on which side of the street you are standing (and in any case, they don't tell you whhat direction you're looking in). GPS is also expensive: most people would not be prepared to pay more for a phone with an in-built GPS receiver - but camera phones are already selling well.
No, we're not going to build a database of every building in the world! But a good place to start would be large city centres. FYI what motivated us to invent this system was the familiar problem of getting lost outside London tube stations. Obviously I know which tube station I'm at but I don't usually know which exit I took or what direction I'm facing. Of course I can retrieve a local map via my mobile phone. But the problem is I'm missing that critical "you are here" dot that tells me where to start. This is where our system comes in: by providing the dot (well, an arrow actually because it tells you which direction you're looking in too).
In practice, builing a database is easier than you might think. Probably we could do it with nothing more than a video camera attached to a car. Granted someone will have to drive down the streets of interest but only once (and this shouldn't be too difficult in somewhere like New York).
Finally, no, movable objects don't cause too many problems. The system uses a feature based strategy that is robust to 'clutter' in the form of things like cars, pedestrians, changing shop window displays, etc. That being said, there will always be ways of confusing it, e.g. by demolishing a building. But supposing that picture messages will one day cost as little as text messages do now, a system that works almost instantaneously and gets it right 99% of the time sounds as if it might have some commercial potential at least. And what if the hypothetical tourist isn't lost but just interested? For example, the system could return information about the history of any building of interest in the middle of Venice.
Yours,
Duncan Robertson
Or summer, or spring, or fall ? Seasons tend to change the environment quite a bit. You need a lot of processing, or 4 different photographs of each season to at least reduce the difference in those.
Ofcourse, if it is raining on the day you take your picture you are left with a lot of noise, etc. etc.
I saw the field of high-level image recognition up close a few years ago. While the particular paper that the person who did the research wrote was about stereographic recognition of (simple) 3D objects, it shows a great deal about the processing power required to correct an occluded part of a scene, or to work under darker or lighter circumstances (p117-). I expect that in a 2D recognition the same problems rear their ugly head and make things a whole lot harder.
Slashdot: stuff for news, nerds that matter, matter for news, stuff that nerd
CCTV cameras all over the city capture images for face recognition, if you get lost...take your own photo and send it. The server compares the image to those in the face recognition database, and returns the where the most recent match was taken.
Ha!! I tricked you, it isn't a better way at all!!
From the article:
> However, the system's commercial future is uncertain.
> "The question is: how much are people prepared to pay
> for it, and how often will they use it?" says Rob Morland,
> of technology consultants Scientific Generics near Cambridge.
> "That's a tough one."
I've posted earlier on this...
The solution could be to use cell phones + cameras + GPS to effectively do collaborative cartography. i.e. units could be both consumers and producers of information - both raw picture data and processed maps - like much of the internet today.
A person could take pictures or video, each frame having a GPS timespace-stamp, and load it onto his computer at home, which could then participate with thousands of other computers in feature extraction using freely available mapping sources like TIGER data. Annotations to mapping information could include: GPS timespace stamps, voice or text annotation, accelerometer data (for data on observer orientation and acceleration). The latter could also help improve feature extraction from multiple images in a video (for eg: Intel OpenCV vision library uses stereo cameras for feature detection).
Throw in concepts like local P2P exchanges by mobile units (for eg: my PDA has GPS, your cellphone has a camera & GPRS, both can communicate over bluetooth --> potential for a win-win situation for us both), distributed image storage and feature extraction, novel types of feature recognition (eg: ATM screens, McDonald outlets), multiple freenet-like distributed cartography servers --- the concept can get quit interesting. - for users, also potentially for cartography vendors even though they will have to improve their value proposition.
maybe I'm just plain stupid here but why not triangulate your position with gsm-transmitters to get your postion?
"You are lost in a foreign city, you don't speak the language and you are late for your meeting. What do you do? "
You go into the nearest hotel and ask the nice English-speaking person behind the reception desk.
Even on Mars the hotel receptionists speak perfectly-accented English.
erroneous: look me up in a dictionary
1. GPS. Whether or not the government can, or would, degrade a GPS network at its own whim, generally speaking, one assumes it will be running as we would expect, all bar WWIII breaks out. Whilst their is never a shortage of cash for projects like this (Photo recognition positioning software), fact is GPS is a technology that is on a day to day basis, more accurate, and cheaper to implement and use. (IE, cost of imaging all major cities/towns. How long will it take in the first place to create that database.) It wont be long before mobile phones have GPS recievers in them, along with any other need gadget.
2. Triangular positioning. It's been in various media articles, the concept of parents being able to use this technology provided by the mobile phone company, to keep track of thier child, using 3 towers to calculate the position of the phone. Wouldn't be hard to implement a service where by which you dial that number, and you are provided with immediate locations.
The point is, as cool as the idea is, practically speaking, it's a very long way of solving a problem, that's allready solved!