Last week's Picasa software update from Google brought with it a neat trick--facial recognition. But it wasn't the first free consumer photo-editing software to find faces. In January, Apple unveiled the latest version of iLife, which included an updated version of iPhoto that could detect and recognize faces in your photos. And this time last year, Microsoft released an updated version of its Windows Live Photo Gallery desktop software that could find faces inside of photos, though it couldn't (and still can't) recognize who's in them.
So, how do these three stack up? To figure that out, we put them to the test. Using 500 sample photos on fresh installs of each program, we tracked around how long each of the tools took to process all the photos, as well as some notable hits and misses from each.
To be fair, our results may not scale, or match the experience you will have. For one, we're using a test bed of photos that's almost entirely 12-megapixel JPEG files, whereas some people may be shooting smaller or larger files that may be in different formats and contain large groups of people--something that can slow these programs down. You're also likely to have a whole lot more than 500 photos sitting around on your computer; we certainly do.
Note: Adobe's PhotoShop Elements software (for Windows | Mac), which also includes a facial recognition feature was not included in this roundup since it's a paid application. Technically iPhoto is as well, but we included it since it comes free on all Macs.
The apps and workflows
iPhoto
iPhoto is the only product of the bunch that's Mac-only. It comes bundled with all new Macs, but the latest version (which includes face detection) must be purchased as a software upgrade if you've got iPhoto '08 or lower. We've included it in this roundup as a free product since it comes bundled with all new Macs.
Face scanning in iPhoto happens automatically, but it's largely a manual process, requiring users to "train" the system to recognize certain faces. The program took around nine minutes to scan through our 500 test photos and when it was done it didn't offer up any suggestions of photos with faces in them.
Instead, users are required to click on a photo with a face in it and hope the program picked it up. If it has, users can simply type the name in--which will auto complete if the person is in your Mac address book. If someone's face was not found, but you can see it in the photo, you can manually contain the face inside of a box, then tag it with their name.
iPhoto's system offers up suggestions of faces it thinks belong to certain people.
(Credit: CNET)After you add names to just few photos, iPhoto's system begins to piece together others that look the same--although it doesn't learn as fast as it does for photos where it already found the faces. In my testing, it only took two photos to get it to offer up some more suggestions. If those suggestions are correct, continuing to add them was just a matter of a few clicks.
iPhoto's system for doing this isn't perfect though.... Read more
Line up the freeware photo manager/editor combos and you'll quickly realize that Google's Picasa stands out in its class. The latest version, Picasa 3.5 (Windows | Mac), is no exception, offering one huge new feature and a few little ones, to offer you more choices for organizing and sharing photos from your desktop.
Facial recognition is the big news here, and Google's team has handily translated the face-tagging feature that it had implemented in the online version, Picasa Web Albums, to the desktop app. You can even download tags you used online into Picasa 3.5.
If you're starting out fresh, you'll notice that Picasa now displays an extra tab, one organized around the people in your albums, and not just the pictures. After naming your contacts (made slightly less laborious with a little help from your Google contacts list), you'll have a photo album dedicated to each friend. With it, you'll be able to find other photos, create a face collage, and plot photos on a Google map. How? We won't hold you in suspense any longer. To see Picasa's new features in action, check out the first Look video above.
Roughly a year after rolling out facial recognition on its Picasa Web Albums site, Google on Tuesday is introducing an updated version of its Picasa software (for Windows | Mac) that can recognize faces in photos stored on users' computers.
Just as it does on the Web, Picasa scans your photos for faces, then groups together photos of specific people. It's then your job to tell it who they are as well as confirm its guesses. If someone you're tagging is in your Google address book, you can also look them up very quickly with auto-complete. Otherwise, Google gives you the option to add them as someone new; this information then gets synced back up your Google address book.
Picasa's software can now scan for faces, and offer up recommendations of people it thinks are your contacts.
(Credit: CNET)The system worked very well for me, but it was slow going. I had to leave the program running overnight for it to finish processing my 3,700 or so photos for faces. It also had my processor humming, since it was doing all the work on my machine instead of Google's giant server farm.
That's not to say Google hasn't included a few things to help speed up the process. For one, if you've got photos that are both hosted online and on your hard drive--and that have already been scanned for faces, the Picasa software can grab that information and add it to your local library. This saves it from having to scan the same photos twice.
And for photos it thinks contain people you've verified as contacts, it gives you quick "yes" and "no" buttons that can add or reject name tags. Oftentimes, clicking "yes" adds a few more suggestions for photos of that person that the program feels is safe enough to recommend. There's also a way to group accept or group decline its suggestions, which saves time you would have otherwise spent clicking the buttons one at a time.
... Read moreIf you're looking for a way to sift through an enormous image library for specific photos, Photology makes for a quick study.
A simple interface is based on Microsoft's .NET framework and features a dark gray background and large easy-to-read buttons for the programs feature set. Images are displayed as thumbnails, so you can flip through pages if you're just looking to browse. Some editing tools are available for red-eye correction and image rotation, and you can sort photos into groups made easily accessible on the bottom of the interface. Photology's true strength is its capability to quickly sort through giant photo libraries and find images fitting a specific criterion. You can sort by date, time of day, indoor or outdoor location, and content such as faces, flowers, and sunsets. Users can also search by name for previously-labeled images.
Those are a bit basic compared with the coolest thing that Photology knows how to do. You can search by color, simply by using a mouse-over tool to select different gradations. Though some may be turned off by the required extra download of the .NET framework, this program is a great choice for anyone wishing to collect photos and search a large image library.
Excuse Me Services (creators of Dial Directions) has finally made available its Say Where iPhone application which lets users search several popular Web services using just their voice. The tool was originally shown off at DemoFall back in early September, and it's taken this long to go through Apple's certification process.
Its big feature is that you can search Google Maps, Yellowpages.com, Yelp, and Traffic.com without having to use the iPhone's often times challenging on-screen keyboard. You simply talk into the microphone and it converts your speech into a search query. There's location awareness, so once the phone pinpoints where you are it will narrow what it's searching for. You can also have it start and end in different locations, which can be set by simply speaking into the microphone.
The one big problem I found with the application was the quality of the voice recognition. It managed to pick up city names just fine, but out of five attempts at specific addresses it only succeeded once, and it was on some very basic words like "center" and "main." I had far better luck simply saying intersections, which it pulled in with ease. It seems when you mix in numbers and street names it gets a little overwhelmed. It's also worth mentioning that I was doing this in a quiet part of an office building, which means it's going to have a harder time if you're out on a busy street.
Another issue is that this app requires too many button presses to make it worthwhile over a simple type-in search. It's been designed as a way to alleviate the need to pay attention to what you're doing, but you still need to go through two or three menus before you get to your result, which usually requires firing up another application--be it Safari or Google Maps. Ideally, you could set it to automatically jump to the recording with just one click after it's been launched, then open up those pages with an in-app maps tool or Webkit browser.
I filmed a quick demo of me using it below. You can also check out the official video here.
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