Camera: 8 X 10 view camera
Lens: Cooke Series XV lens (a 12 1/4 -inch triple convertible with components of 19- and 23-inch focal length).
S.E.I Exposure Photometer
Film: Kodak Super-Panchro Press film (ASA 200)
Filter: Wratten No. 15 (G) filter
Exposure: 1/10 second at f/32.
Development: water-bath (holds the high values within printable range, but also strengthens the shadow-area contrasts.
Paper: Ilford Gallerie Grade 2 with Dektol or
Oriental Seagull Grade 2 with Selectrrol-Soft and Dektol
Exhibition: Mount Williamson was installed in the Family of Man exhibition at the Museum of Modern Art in New York, (1955), curated by Edward Steichen, but Adams was disappointed with what he considered a "badly enlarged blow-up" of his work.
So 482.6mm - 584.2mm.
Using 3DEqualizer and the Houdini Heightfield I created and scaled from the ASTER GDEM GeoTIFF as survey I arrived at a focal length of 516mm. Pretty good but the film back is wrong as it is in cm lol. So close. Film back should at least be 6cm but definitely not 24cm. For now it looks good - time to move on. I have chosen not to calculate distortion as it is close enough for my purpose.
Using average 1 ° lat/log = 111.133km
Height + voids%
15.257 % 4383 = 668.71
668.71m + 4383 = 5051.71 *with 17m error
use “Heightfield File” to import your GeoTiff.
Size Method = Size of Largest Axis
Size = tile size of your GeoTIFF = 1 degree lat x 1 degree long for ASTER GDEM.
***So far below is the best method I have found - not perfect at all. I would like to put our Remapped Height directly into “Height Scale” and have it work but it just doesn’t.
Make a “Box” and scale in Y to the size of your elevation + voids. Basically a measuring stick.
“Transform” this in until it is directly under the feature your have a measurement for, add some Height Scale as necessary to visualise.
Then adjust Height Scale till you get the exact height. (yes it’s not really exact, I know.)
***For the Mount Williamson tile I then noticed the desert floor is above sea level. So I went back into Google Earth and got an elevation for the desert floor.
Beck into Houdini made another Box and scaled in Y to the elevation from Google Earth and QC’d the desert floor. IT MATCHED !!!
So now I feel like I have an accurate model of the environment at scale with correct height so the slope angles of the mountains are close to real world.
WHERE AND HOW
Download USGS Satellite Imagery at http://earthexplorer.usgs.gov/
Create account and either search or click map of desired area - feature.
Enter date range. 2000 - to today.
Height maps = Digital Elevation> ASTER GLOBAL DEM
High Res Colour maps = Aerial Imagery>High Resolution Orthoimagery
‘Show Browse Overlay’ displays a preview of the satellite image on top of the world map
‘Show Metadata and Browse’ contains dates, coordinates, etc.
Tile size = 1° lat x 1° long
1° x 1° = 111.699km at equator 110.567km at poles.
average = 111.133km
3601 columns x 3601 rows
pixel size = 1 arc second
1 arc second = 30.87m (? I guess this also changes)
3601 x 30.87 = 111.16287 km (? this number comes out a bit above the average)
*Either stick to average or use Area by Lat Long coordinates for exact measuments)
16bit TIFF with 65,536 levels of grey and -9999 levels for voids (Ocean, caves etc)
Sea level = 9,999 grey.
So for land elevations relating to sea level need to add 15.257% to remap accounting for voids. (9999/65536x100)
Inherent 95% accuracy with 17m degree of error in height.
Which allows for a small % to add or reduce elevation in Houdini etc.
As I understand it Google's DeepDream software uses libraries of images and then looks for those images in whatever image file you give it at various levels of detail based on how you set the Octaves up. And it will iteratively apply the filter again and again to bring out what it thinks it finds.
The first few layers bring out patterns. The middle set of layers eyes start to appear. Then the last set of layer settings bring out dogslugs, sankes lizards, then architecture. But so many cute doggy faces...
So it has a very specific look and style. Not completely random. Why so many dog faces?
Sometimes like a bad photoshop filter but sometimes wonderfully surreal.
How can I use it effectively?
'American flag' test. (Could of used any national flag but this is inspired by Hunter S Thomson's "Fear and Loathing in Las Vegas". Deep Dream and the American Deep Dream just fit so well together.)
'Uncle Sam wants you' test. Eyes. Again seems to fit well with the revelations of how we are all now being watched 24/7.
Ok, what if I give it nothing... just white pixels to dream on?
Wow! Was surprised it worked as the image is pure white with zero noise variance.
Ok what about black?
Again totally unexpected. The cuteness has become quite evil and disturbing.
And finally 50% grey for all the concrete everywhere.
re: Joseph Beuys "Telefon S_E"
Add a third string intercept in middle with black can - black string.
"Maybe painting never gave up its ability to provide some of the best descriptions of life."
"... the notion that painting has been, or will ever have to be, on the clock. "