Whoa. That's pretty rad! Why don't more people know about this guy? Considering he predates the surrealists by literally hundreds of years, you'd think he would get more press. This stuff would be right at home in an issue of Juxtapoz magazine.
Striking, isn't it? I ran across his work when taking cog psych/cog neuro courses. Arcimbaldo's paintings provide a great demonstration of face perception and — one could argue — face-seeking that our brains perform with no conscious effort.
Just to say, he's quite well known amongst artists and art historians, though I don't recall learning about him in my Western art history course. Along similar lines, but more well known is Hieronymus Bosch http://lmgtfy.com/?q=hieronymus+bosch.
That's a great question! My original plan that once I had extracted all the items from the plate, the app would then detect the average colour of the remaining regions and "fill" the gaps - that wouldn't work well with plates that have different patterns, but would probably be good enough for plates of a single colour.
Due to time constraints (and ultimately solving the majority of the problems I had originally aimed to with this project), the app replaces the cropped circular region with a plain white plate (a separate image contained in the app) before placing the extracted items.
Maybe I'll go for the more advanced implementation if/when I spend more time on this project!
This seems like a great example of a technically/algorithmically challenging problem that the layman would not appreciate, more so if this could be refined and applied to a wider set of images.
An elevator pitch for this, if you will, would likely not impress most non-technical people because, on it's face, what's so hard about rearranging foods into faces?
There are tons of tasks that are easy for a human to perform, but challenging for a computer to perform. Deepdream certainly seems to impress the layman.
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[ 86.4 ms ] story [ 618 ms ] threadActual food -> feces.
http://buttersafe.com/2016/02/02/a-new-generation-of-art/
https://en.m.wikipedia.org/wiki/Giuseppe_Arcimboldo#/media/F...
We need a "food->face" filter stat. If not for the poster, then one I can apply to any of my friends' photos they post.
Or maybe I need better friends.
Or eat more photogenic food myself.
Does this assume that the plate has an uniform color and round symmetry? Does this work with plates that have circular color stripes?
[0] https://github.com/AaronRandall/Megabite/blob/b982d587677b93...
[1] https://github.com/AaronRandall/Megabite/blob/master/Megabit...
Due to time constraints (and ultimately solving the majority of the problems I had originally aimed to with this project), the app replaces the cropped circular region with a plain white plate (a separate image contained in the app) before placing the extracted items.
Maybe I'll go for the more advanced implementation if/when I spend more time on this project!
An elevator pitch for this, if you will, would likely not impress most non-technical people because, on it's face, what's so hard about rearranging foods into faces?