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Nikon D3s | Atacama Desert, South of San Pedro de Atacama, Chile, 19 Jun 2010
© 2010 José Francisco Salgado, PhD
LMU Management Alumni - Universität München - Eventagentur Servicebroker - videomapping by crushed eyes media
One and Seven WTC,a NYC subway map,and a train's handrail. I'm back here on my original page. I figured how to get back.Sorry about the runaround..I ran around too :-) You can comment here from now on.Thank you for your patience.Your viewership is much appreciated!
The Sun's axis of rotation varies in relation to the solar North pole over the course of a year. Interesting article in Sky at Night magazine about using freeware programs "Helio" and "Tilting Sun" to measure the tilt and overlay a grid for any solar image taken at a particular time. 0-180 line is true North-South and on the 30th September 2017, the axial tilt (P0) was 25,93 degrees.
There is also variation on the forward tilt of the Sun over the year. You can see more grid lines at the North Pole than the South in this instance. The angle of tilt is given as B0 and varies between plus and minus 7 degrees over the year.
The article also quoted the Mount Wilson Solar Seeing Scale - there was good seeing on the day this image was taken - probably a 4:
4: Sun is sharp for more time than it is fuzzy. Solar granulations visible for most of the time. Limb motion and resolution are in the 1-2 arcsecond range.
Equinox ED 120mm scope with Baader Herschel wedge
ZWO ASI174 MM cooled to 14c
HDR tonal mapping with some local corrections.
Piran is a little town (about 4000 inhabitants) with a medieval flair. It is situated on a peninsula of the Adriatic sea in the Slovenian part of Istria. It has a long history dating back to the pre-Roman era. Until the first world war it belonged to the Austro-Hungarian empire.
This is the view from the old town walls. To the right we see St. George's Parish Church, built in the style of Venetian Renaissance and finished in 1614 CE.
High dynamic range image combined of 3 images +/- 2 exposures apart, using Photomatix for HDR and tone-mapping.
Please don't use this image on websites, blogs or other media without my explicit permission. © StantonPhotoStudios. Contact: angela@stantonphotostudios.com. All rights reserved
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◘ Informação: Construída em Nova Iorque e instalada em 1935 no eixo da Avenida dos Estados, esse monumental chafariz traz a dança das águas elevadas em quatro estágios diferentes para mais de 8 metros de altura e iluminadas por 31 holofotes de diversas cores ao coração do Parque Farroupilha, tornando-se uma imagem inesquecível.
O Parque Farroupilha é um patrimônio ambiental de Porto Alegre e parte indissociável das histórias de cada citadino. Quem não percorreu suas trilhas, namorou em seus recantos e passeou com os pedalinhos ou as velhas bicicletas?
Ao completar 60 anos (1935-1995) e ser eleito como o local mais querido dos cidadãos, o Parque Farroupilha, administrado pela Secretaria Municipal do Meio Ambiente, conquistou não só o coração da cidade, mas também o coração de todos os Porto-alegrenses. (fonte: A Redenção)
◘ Cidade / Estado: Porto Alegre / Rio Grande do Sul
◘ Veja localização no mapa: Clique aqui! [?]
◘ Exif: Clique aqui!
◘ Veja Grande: Clique aqui!
◘ Translate this page: Click Here (by Google Tradutor)
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◘ É proibido o uso desta foto sem a minha permissão.
© Todos os direitos reservados.
Omar Junior ▐ Fotografia e Edição ( www.omarjunior.com )
► Follow me on Twitter: @omarjunior ◄
Luminance HDR 2.2.1 tonemapping parameters:
Operator: Mantiuk06
Parameters:
Contrast Mapping factor: 0.29
Saturation Factor: 0.8
Detail Factor: 4.9
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PreGamma: 0.27
First attempt at a disc-to-heart conformal mapping (e-marmotte kind of asked for it).
The original picture is here.
The mapping is very approximate as the detail on mapping isn't as good as I would like , so approx 200 metres or so !!! ..... but if on the trail , the clump is on the left near , top of footpath slope , near a bend to come back to Anderton Marina
Finally finished with school so now I have time to go out.
I'm just trying out some manual tone mapping as an alternative to the usual boring HDR stuff... I like it... it takes considerably longer. However, it is much more flexible!! I'm not quite down with the technique yet unfortunately.
On a rainy day in Long Beach British Columbia.
Pleasures looks like shady operation to me. Good news, it's available to rent. It's in McColl, South Carolina in Marlboro County.
Plaisirs d'hiver - Marche de noel 2016 - Premiere journee sous le soleil
First day under the sun at the market
( Plaisirs d'Hiver et marche de Noel 2016
Du 25 novembre 2016 au 1er janvier 2017 dans le centre de Bruxelles.
Les Plaisirs d'Hiver, le grand marche des fetes de fin d'annee, revient dans le centre de la Ville de Bruxelles. L'evenement s'organise sur la Grand-Place de Bruxelles et autour de la Bourse, sur la place de la Monnaie, sur la place Sainte-Catherine et sur la place du Marche aux Poissons (Vismet).
Les Plaisirs d'Hiver 2016 c'est aussi:
* un marche de Noel de plus de 200 chalets
* des animations de Noel (maneges, grande roue, ...)
* une patinoire de glace (couverte) sur la place de la Monnaie (jusqu'au dimanche 8 janvier)
* un gigantesque sapin de Noel et des animations lumineuses (sons et lumieres) sur la Grand-Place
* concert de Lost Frequencies (mercredi 30 novembre, Grand-Place)
* Impulsion: playground lumineux au pied de la Bourse
* des visites guidees
* Origami Lights: Odyssee lumineuse a travers le Japon - video mapping (Eglise Sainte-Catherine) )
One of the most compelling sights in Jaipur, India is the Jantar Mantar, a Unesco world heritage site. Completed in 1734 by prince Jai Singh II, the founder of the city, it is an astrological observatory. The structures, like the one pictured, are used as instruments to map the heavens, and the world's largest sundial is part of the complex. Photo by Dave.
Who shares their images with the world? This map of Flickr activity around the globe starts to give us an answer.
When they're not mapping zombies, Mark Graham and the team at the Oxford Internet Institute, are undertaking even more serious research into the state of the internet - this map is part of that work.
Using Flickr's API, they mapped every geotagged picture on Flickr by downloading the count of photographs in every 0.5 x 0.5 degree latitude-longitude square on the Earth's surface.
As might be expected, the largest concentrations of photographs can be found in some of the world's most populated places.
Images are an important form of knowledge that allow us to develop understandings about our world. Flickr is the world’s most used and most popular public repository of photographs and currently hosts over five billion images. This map reveals the global geographic distribution of geotagged images on the platform, and thus reveals the density of visual representations and locally depicted knowledge of all places on our planet.
University of Oxford
link to the page : here
Terra Incognita To Australia. By the National Library of Australia..
Just lost myself in the catalogue of the “Mapping Our World” exhibition at the NLA 7 November 2013 - 10 March 2014.
“Lose Yourself in the World's Greatest Maps”
Read all about Pelsaert, the VOC and the wreck of the "SCHIP BATAVIA"
see p132...135
Wandering around the books like this…
vimeo.com/crestpictures/bookcase
see a few good maps here...
www.davidrumsey.com/luna/servlet/detail/RUMSEY~8~1~31935~...
Ishavskatedralen as seen from the backside of the Radisson Blu hotel. The picture was composed from a stack of 41 individual pictures with 7 different exposures spanning about 19 stops. The brightest exposure was ISO 1600 and ten seconds exposure, the next exposures were all at ISO 100: 15 seconds exposure, 1.3 seconds exposure, 1/6 seconds, 1/50 seconds, 1/400 seconds and finally 1/3200 seconds. For each exposure 6 pictures were taken, but at the next brightest exposure one picture turned out to be unsharp and was deleted.
Noise reduction was done by averaging over the pictures for each exposure after alignment. In case of the shorter exposure times (1.3 seconds and shorter), moving objects were removed by taking the pixelwise minimum and maximum and subtracting them (so, you take the average by including them with a negative weight, the 6 pictures then get a weight of 1/4 and the minimum and maximum get a weight of -1/4). This is necessary as e.g. a strong light from car will cause problems when compiling the HDR image.
Noise reduction of the raw processor must be shut off to allow fine details that are hidden in the noise to be recovered by averaging. Noise reduction would remove both the noise and everything that is hidden below the noise floor.
I did use long exposure noise reduction (the camera performs a dark frame subtraction), but it's actually better to keep the dark frames separate to prevent subtractions from causing gray values to be clipped to zero. But you must then do this for each of the exposures, putting the lens cap on and off causes larger shifts in the alignment, your hands are ice cold from having to handle the camera without gloves, so you may accidentally drop the lens cap in the snow...
The HDR image was then computed using the 7 averages using the program enfuse, I then applied a small gamma correction to adjust the contrast and brightness a bit and then used GIMP to correct the white balance and export the result as JPG.
While the image could obviously be made to look better (it looks rather dark), doing that would make it look less like the scene out there rally looks. In reality the mountains in the distance are quite dark, you can't see much detail with the naked eye.
The result can be improved by not using enfuse but instead computing a 32 bit linear image first. Here one has to remove the blooming of the bright light sources, the shorter exposures can be used to calculate the blooming effect quite precisely in the longer exposure and the subtract this. Then one can do a tone mapping without any halos or light spikes emanating from the bright light sources.
But this involves having to do the demosaicing of the longer exposures again, so you have to use DCRaw to convert the brighter exposures to undemosaiced tiff files, do the removal of the blooming effect on those files and then proceed with demosaicing.
Jeremy Douglass and Lev Manovich, 2009.
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Data:
The covers of every issue of Time magazine published from 1923 to summer 2009.
Total number of covers: 4535.
The large percentage of the covers included red borders. We cropped these borders and scaled all images to the same size to allow a user see more clearly the temporal patterns across all covers.
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Timescale:
1923-2009.
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Mapping:
Time covers appear in order of publication (i.e., from 1923 to 2009), arranged in a grid layout (left to right and top to bottom).
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Mapping 4535 Time covers into a grid organized by publicatoon date reveals a number of historical patterns. Here are some of them:
Medium: In the 1920s and 1930s Time covers use mostly photography. After 1941, the magazine switches to paintings. In the later decades the photography gradually comes to dominate again. In the 1990s we see emergence of the contemporary software-based visual language which combines manipulated photography, graphic and typographic elements.
Color vs. black and white: The shift from early black and white to full color covers happens gradually, with both types coexisting for many years.
Hue: Distinct “color periods” appear in bands: green, yellow/brown, red/blue, yellow/brown again, yellow, and a lighter yellow/blue in the 2000s.
Brightness: The changes in brightness (the mean of all pixels’ grayscale values for each cover) follow a similar cyclical pattern.
Contrast and Saturation: Both gradually increase throughout the 20th century. However, since the end of the 1990s, this trend is reversed: recent covers have less contrast and less saturation.
Content: Initially most covers are portraits of individuals set against neutral backgrounds. Over time, portrait backgrounds change to feature compositions representing concepts. Later, these two different strategies come to co-exist: portraits return to neutral backgrounds, while concepts are now represented by compositions which may include both objects and people – but not particular individuals.
The visualization also reveals an important “metapattern”: almost all changes are gradual. Each of the new communication strategies emerges slowly over a number of months, years or even decades.