Catching up on posting a few photos from that sojourn in Shanghai. This one was shot in a dusty hutong in Shanghai. Grease from a jianbing seems to have clouded my iPhone’s camera. I think I remember at the time choosing not to wipe it off because it looked interesting. The kid in this photo has the perfect kind of barely-reactive wary look. Better that than succumb to overwhelm, can’t have a billion people throwing a tantrum!
Look closely if you dare (click the image to see it at full resolution). Those are no ordinary eggs –unless you expect beaks with yours.This seems a bit similar to the Filipino food “Balut”, a mainstay of eating challenges on US-oriented reality tv competitions. Often the competitors gag and bow out. I’ve always figured I’d pass such a challenge without issue, as the dish in question probably tastes fine. But when faced with Balut’s Chinese cousin, I skipped the opportunity. I showed the photo to a shanghainese friend, who said the dish is called xidan and is very good for health problems. I asked if it works, and she said,”of course.” So there you have it. Xidan. Yum.
So here are the header images I threw together yesterday, along with brief explanations:
Due to the extreme horizontal aspect ratio, it’s a challenge to edit images for the header. But it’s fun. The header image displayed per visit is chosen randomly. Once I’ve installed more images, you’ll likely see a different image each visit.
I grabbed her cell phone1 and snapped a couple of pictures. He did the same. I don’t think he has a blog in which he posts photos of people in the act of taking his picture2, but if he does you’ll now be able to find a photo of me on it.
- It’s an iPhone 4G. I’m pretty impressed by its camera’s image quality. I don’t think I gave the phone enough time to properly set its exposure for that 2nd shot, there’s likely have been better highlight detail had I waited a couple of seconds. [↩]
- which is something I’d definitely do if I were any sort of celebrity [↩]
For more info on the facial recognition feature in Aperture 3, check here on Apple’s website.
I have about 16,000 photos in my archive, and though the process isn’t completely automatic, the facial recognition feature made it much more feasible to tag all the people in these photos. Even just the fact that the application can display an entire set of photos cropped and resized to only show faces alone would be a huge help, the fact that Aperture 3 makes decent guesses is a bonus.
Coming soon, the results of my test shoot of several of the most popular “flat” color styles people have been using in their attempts to preserve the maximum amount of picture information in the H264 files recorded by Canon DSLRs.
I shot the same setup with 5 different color style settings, and will be looking at all of them in Apple Color in order to determine which setting I prefer.
I’m well aware that tradition holds that no camera test is complete without a photo of a beautiful lady holding a redundant umbrella and smiling at the photographer, but I decided plastic grapes would just as ably serve that function1.
- And the grapes had to stand-in, as no people were around when I shot these tests [↩]