Light at the end of the aperture | Bangkok Post: tech

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Light at the end of the aperture

A few days after I wrote about the depressing process for upgrading to Aperture 3, Apple released update 3.0.1 that fixed most problems. Many people had reported difficulties and these centred on library conversion, especially if images used in Aperture 2 had had multiple adjustments. New installations (for example in my Admin account, which I do not use on a daily basis) were generally problem-free.

Editing using Presets.

After 24 hours of processing, Aperture settled down, although there were still some difficulties: my version crashed on occasion while trying out some new tricks; and I was not alone. The 3.0.1 update improved things greatly and I have been able to use this software to do what it was designed for.

Late in the week, I also started Faces, which, like the iPhoto feature, detects faces then identifies people, grouping images of an individual. While there was a small drag on the system during the processing, it was brief. It needs some more tuning in my case as images of flowers and vehicle wheels were also detected initially.

Aperture is a workflow application, enabling users to import, examine, sort and make some adjustments to images fairly quickly. It is used by photographers, for example in the fields of sport, fashion and weddings. Although it is not editing software, there are a number of image-adjustment functions built in. Apple cites over 200 new features and I am still working my way through these.

Importing images has changed. Previously, there was a bar indicating the path from source to images. Now, after a fair delay, a panel appears with source images shown. We select images (the default is 'All') and confirm the target source before clicking the Import button at bottom right.

Display of metadata includes several ways to append data so the photographer may embed useful information on an image. The different types of metadata are selected below a panel showing camera data which gives a display that includes ISO rating, lens, and speed.

We are familiar with the star rating in Aperture, but there is now an additional feature of marking images with colour labels. This may be applied via the Metadata panel, from the Metadata menu, or using keystrokes (command + 1 - 7). We may also flag an image. Flags can be seen in the browser or split view at the top right of a thumbnail. Clicking on the semi-transparent flag when the mouse runs over it, turns it red.

An album may be displayed in three ways: as a set of thumbnails in a browser; with the full image in a viewer; and in a hybrid panel. This shows a large image with an image strip beneath. Some adjustments are possible in any of these and can be effected quite quickly.

Presets (a new feature) adds to the speed with which changes may be made. There are four groups, including Quick Fixes and Color. In the first, for example, we may adjust exposure up or down, by one or two stops. When a preset is selected, a preview appears alongside the image showing how it would look with the preset applied. This gives a user more flexibility in deciding on image viability and can be done really quickly.

The other presets, like Color, Black and White, and White Balance, each allow several possible versions of an image to be viewed without actually applying the adjustment. The panel allows a user to save a setting as a preset and to edit presets. As an example, the Color preset Cross Process 1 has six separate adjustments incorporated.

The main Adjustments panel remains mainly as before, although the Color panel has been revised and can be used in compressed or expanded view. There is also a new Edge Sharpen tool. Each section has its own settings gearwheel icon. Some, for example Sharpen, include brushes for fine adjustments to an image.

A number of plugins need Aperture to restart in 32-bit mode. This is automatic, although there should be a menu item for this. Some users, like me, report this missing. After the 32-bit process is complete, Aperture restarts in 64-bit mode.

Sometimes I found while making adjustments that there is posterisation of the image displayed. The image itself is fine, it just looks awful on screen. This is a known issue with the Radeon graphics card in my older MacBook Pro: the current range uses NVidia graphics cards.

Aperture is slow to apply adjustments on my MacBook Pro and this delays the editing process, making me unsure at times whether any adjustments, particularly with brushes, were being made. A faster computer with more memory will certainly help. The updated version means I am again able to effectively work on images as before.


Graham K. Rogers of Mahidol University's Engineering Faculty, has OS X flavoured web pages, with links to an RSS feed and a weekly podcast at

http://www.extensions.in.th/index4.html

Relate Search: Aperture 3, Apple released update 3.0.1, Edge Sharpen tool

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About the author

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Writer: Graham K. Rogers
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Your comments

  • Bill

    Discussion 2 : 12/03/2010 at 11:44 AM2

    As far as facial recognition and seeing objects as faces, it would like to point out that you "teach" it to recognize certain things as faces. The more data you give it, the more it learns. Correct and incorrect inputs are equally valid as it allows it to learn which images are the faces of the person and which images are not the faces of the person.

    A valid review point would be, after identifying 200 pictures of my faces, it still confuses my face with a tree. That would say it needs fine tuning.

    Additionally, I'd suggest comparing it to other facial recognition programs. Usually programs that have facial recognition are always EXPECTING the input to have a face. So they look for the face.

    Apple's algorithm can't expect there to be a face, so it is far more complex.

    Also keep in mind that our own minds can see shapes in the clouds. Is that a mistake by our brain? A neural network is modeled after our own minds.

    Think about languages and accents. When someone is speaking the same language with a different accent, our brain magically takes the actually sound and matches it with the closest known sound. So someone speaking with an accent is easy to understand even when they say something in a totally different way. It also works against us when learning languages that have sounds outside of what we already know, because we can't override the automatic sound matching in our brain.

    If Apple's facial recognition algorithm works half as good as our brain, I'd say they're doing a fantastic job and are lightyears ahead of the competition.

  • David Riecks

    Discussion 1 : 10/03/2010 at 10:03 PM1

    Graham:

    I think it's important to point out to your readers that there are some real concerns regarding how Aperture 3 is writing metadata; especially when these files are viewed by other applications in an imaging workflow. This may not be much of a concern to amateurs but could be of significant consequence to professionals.

    Those using Aperture to write metadata to files that will be used with other programs at some point in their workflow need to do some testing to make sure that their metadata is still visible. If you do additional work in Photoshop or Lightroom, and then archive your images using other programs, there is a risk of having some or all of your metadata disappear. This is because other programs may not see (recognize) the information you are adding to your images with Aperture 3. In addition, if you are importing images that have been worked on in other programs, some of that metadata may not be recognized or stored within Aperture.

    You should really be concerned if you are fully using the various metadata fields, such as the Rights Usage Terms, Location fields, or geo-tagging your images, as many of these fields (and others), are not showing up in Photoshop, Adobe Bridge, Photo Mechanic, or Expression Media, after being exported from Aperture 3.

    I have put an article titled “Apple Aperture 3 Metadata Issues” on my site (http://www.controlledvocabulary.com/imagedatabases/aperture3.html) that you can read if you want to find out more. Including is a link to a chart that maps out what is seen and what is lost or hidden in JPEG, TIFF, DNG and proprietary NEF files when viewed in other applications.

    David

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