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› archive for December 8th, 2008

Stylus 1050SW, revisited

This is definitely the high point of the week for this blogger. It’s all downhill from here. Why? Because Olympus was kind enough to loan us a 1050SW so we could demonstrate the shock-proofiness and water-proofiness of that little beast. That’s right, you saw us smack it around here, now see us put the thing through the fun tests.

To review, the 1050SW is a Stylus Olympus digital camera sporting 10 megapixels, a 3x optical zoom, and an attitude that lets you know it ain’t scared of nothin’. Sure, it shuns the more likable SD memory cards in favor of xD, but read the specs below and you might soon forgive it.

It claims water-proof to 10 feet, shock-proof from 5 feet, and freeze-proof down to 14 degrees Fahrenheit. Now, while it is rather chilly here in the Circle City, it’s not down to 14 degrees yet, so we can’t vouch for that last one, but after today we’ll vouch anywhere for those first two.

So, two videos below, one a standard Raw Footage, the other filmed by our demo 1050SW as we filmed the main one. A camera, a floor, a coffee pot full of water, and a lot of awesome went into the making of these videos. Be sure to watch them both.



Matrix Metering, Continued

Back here I started talking about matrix metering, but to keep your heads from exploding in boredom broke it into a couple posts. This time, though, we get to talk about the bells and whistles of modern matrix metering, instead of the humdrum of how it works.

Scene recognition libraries. This idea also dates back far longer than I can pin down with accuracy, but the idea is the camera compares your matrix to a library of saved matrixes to see if it can better understand what you’re shooting.

For example, if you’re trying to take a picture of your Aunt Bessie (and really, shouldn’t everyone have an Aunt Bessie?) out in some snow–nice, bright, white snow–you might get a metering that looks like this:

Matrix Metering
Under straight matrix metering, this exposure might not be too bad, the bright lights and darks already balance out close to a middle grey as far as its concerned. But, we know that dark blob is really your Aunt Bessie, and she will be quite unhappy if your picture of her relegates her to the shadows.

Metering libraries would take this and run it against some scenes they have, and it’d probably run up against a similar one that tells the camera to overexpose if it sees this. Why? The camera essentially “realizes” the scene is backlit and exposes for the dark area and not the scene as a whole.

Now, the champs of advanced metering tricks right now are the newest wave of Nikon digital SLR cameras with their 3D Matrix. It’s not just reading light, but they’ve combined it with their white balance system so it can measure colors, too. They also combined all this with auto-focus, but that’s a different story. But, thanks to the advanced metering in cameras like their pro D3, the camera can tell something is a face (two really white ovals–the eyes–in the middle of an oval of another color) and not, say, merely just a chair, which could in our last example be the difference between a a nice portrait and a stunning sihlouette (whereas just regular old scene recognition would probably see both your Aunt and the chair the same way, a dark blob in the corner, and expose them both the same).

Now, I’m not saying trusting your matrix metering is the only way or even the best way to shoot, there are a few other ways I’ll talk about, but if you like running your camera on Auto more often than not, I’d say the matrix metering method is one of the digital camera comparisons you’ll probably be wanting to look at.




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