Blendoku–Humanae edition

I was thinking …. :

image1. I read about the project Humanae, the project of photographer Anglica Dass to use Pantone colorcoding to photograph every human color in the world. (see also TedX:



image2. I installed the game “Blendoku” for my kids: they liked it … It involves putting colors in the right order with increasing blending difficulties. It is one of the most downloaded games of the moment, so I guess you have seen it.



Now what if you would combine (1) project Humanae and (2) Blendoku ? You would get a game in which you re-order put human colors in the right blending order. Although it would have a negative undertone…. it also has a positive undertone.

Probably with some more thought, this could turn out to be an interesting game.

How to Auto Crop Bulk Photos to a certain aspect ratio?

I read this question on on how to auto crop images to e.g. 4:3 format e.g. to the format 1000×750.

This reminded me of an age old problem: you can of course auto crop images to always 4:3 / 1000:750 manually or automatically:


There are zillions of software tools that let you automate this stuff , I usually use Irfanview for my bulk processing.

But… if you would automate this by e.g. putting the crop always in the middle of the photo (instead of starting at 0:0) it could well be that you miss out a part of the photo that you really want to keep in that crop.

For the regular house-garden en kitchen personal photo’s: this will not be a problem. Since you will be the end-user and in the end : who cares? But for a more professional process you will somehow need to determine if there are certain details in a picture you want in the end result before cropping or better said: to determine WHERE to crop.

For any photo’s that are “near” the aspect ratio : probably there is no problem but the farther you go away from the aspect ratio the worse the results will turn out.

image The photo on the left is 200 x 1000 ( width=200 and height= 1000). If I would use the simple batch algorithm above, the resulting image would look like on the right image

So … as you can see in the example above: our algorithm is not that nice: we do not even have the giraffe on the image.

Our customer would not be happy if there was not even a giraffe on the picture.

So we could do several things:

  1. Have some content based image recognition software that determines the most important parts in the image and takes this as “the middle” of the crop area (and hope we catch everything)
  2. If we are outside a certain range of the 640×480 range (lets say 10%) then no longer do an auto crop but “fill” the remaining area with a background color
  3. If we are outside a certain range of the 640×480 range (lets say 10%) then no longer do an auto crop but use some smart image tools to “create” a fill-in for the remaining part of the image.

Option 2 is easy and we can do this with most photo batch processing tools (see thread on stackexchange)

But what about option 1 and option 3? Which software can I use to batch process large amounts of photo’s to perform either 1 or 3 ?

Automatic removal of objects in photos

image image image

Do you hate the manual removal of objects in photoshop? Do it automatically.

Although the authors of the original algorithm were kind enough to offer advice and assistance, this tool is by no means an official implementation of their work, and its output should not be taken  as representing the quality obtainable by a full implementation of their algorithm.

This software was written by Michal Zmiri-Yaniv, Moshe Ofry, and Ami Bruker as a final (workshop) project, for a BA degree at the Academic College of Tel-Aviv Yaffo, under the supervision of Tal Hassner.

Apart from removing objects out of photo’s for creating funny effects I was thinking on CBIR: content based image recognition. If it  is possible automatically remove parts that occlude shapes to be recognized (by manual annotation of shape layer after shape layer) it means that CBIR systems can reach a higher percentage of success rates (according to the hypergeometric distribution).

So I made the header of this post “automatic” removal because in combination with CBIR the top layer shapes can be detected automatically which then gives you the set of possible removals of the top layer objects wherafter…. the same process can be done on the resulting image wherafter the same process can be done on the resulting image of the resulting image etc… Maybe we even discover a man standing behind a wall…. (just kidding about the last one).

Promise myself to visit the wsj photo journal every day


Girls displaced by war stood at a makeshift camp near Goma, Congo, Wednesday. Rwandan Hutu rebels are eluding a joint Rwanda-Congo military effort by retreating into the bush. (Finbarr O’Reilly/Reuters )

From the wsj photo journal, which I promised myself to visit everyday just now.

:idea: I also noticed how different the photo’s feel when playing different music while looking at them… urm.. well…. uh… try it yourself and see. What is the best song to play with this photo?

Onexposure: top Photo Blogger site


I really enjoyed the magnificent photos at Onexposure. Almost every photograph awed me and produced another emotion. I think I will visit here often.

Onexposure is an artsproject and a photo community with a difference. Take the most talented photobloggers of the web and other famous photographers as well as many serious amateurs, select their best work and put it all in one place – there you have Onexposure. Everyone is welcome to contribute, but every photo is screened, which means it has to be approved by an editor before being published. Onexposure is like a constantly evolving high class photo gallery with new art every day. We don’t judge over good and bad, or over art, we merely decide if a photo fits into our gallery or not. Like in an arts gallery, you can buy many of the photos as prints and hang them on your wall. Onexposure also offers a premium membership, which includes unlimited image hosting and your own professional homepage with complete control over what photos to display.

We created Onexposure because we missed an online collection of only high quality photos, we thought the photo critique was too brief on other sites and we wanted a site that was elegant and easy to navigate. Our mission is to be a source of inspiration and ultimately finding the sublime together, but if the latter doesn’t succeed we believe that everyone will develop as photographers and make some friends along the journey.