I remember seeing a series of photos where popular tourist locations are shown to be completely empty. I'm assuming it was done by taking a series of photos and then combining them in Photoshop. But what is the name of that technique so that I can research it further? Bonus points if you actually post the required steps within your answer.
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4\$\begingroup\$ this lifehacker.com/… ? \$\endgroup\$– MaxCommented Oct 3, 2017 at 13:33
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9\$\begingroup\$ Another technique - more old fashioned - is making a long exposure shot with a heavy ND filter and several minutes of exposure. This would look this way: flickr.com/photos/131952290@N06/27563489163/in/… \$\endgroup\$– Jindra LackoCommented Oct 3, 2017 at 14:37
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5\$\begingroup\$ @JindraLacko Please post that as an answer! \$\endgroup\$– Eric SCommented Oct 3, 2017 at 14:58
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1\$\begingroup\$ The question asks for the name of the technique but all the answers seem to be answering the question of "how do I achieve this technique?", so perhaps the question ought to be changed to reflect the answers. \$\endgroup\$– PharapCommented Oct 4, 2017 at 20:04
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4\$\begingroup\$ Others have provided answers, but this answer to the question “How was the deserted London scene in the movie '28 Days Later' filmed?” in the Movies and TV SE site gives the best/simplest answer: You need to simply get there early in the day when few to no people are there and that’s that. You’d be shocked how many “popular” places are practically deserted before 8:00AM on a weekday… Even moreso on a weekend… \$\endgroup\$– Giacomo1968Commented Oct 5, 2017 at 16:43
8 Answers
One straightforward way to achieve this effect is to take multiple shots of the same scene and combine them using median blending. This technique is commonly used for noise reduction, and does it very effectively — so effectively, in fact, that it can even hide "noise" such as random people walking through the scene.
What median blending effectively does is combine multiple shots of the same scene, replacing the color of each pixel (or, rather, each RGB color channel of each pixel) with the median of the colors of that pixel in each shot — that is, a color value chosen to be lighter than in 50% of the shots and darker than in the other 50%.
Compared to simple averaging (either by digital stacking, or simply by taking a longer exposure), median blending is a lot more effective at rejecting "outliers", i.e. pixel values that happen to lie far from the "consensus" value, whether due to noise or due to an obstacle in the frame. In practical terms, what this means is that properly done median blending doesn't suffer from the faint blurry "ghosts" that moving people or other obstacles tend to produce in averaged images or in long exposures.
The main drawback of median blending is that, to guarantee successful obstacle removal, each pixel in the image must be unobscured in over 50% of the shots. Otherwise, it's possible that the "true" unobscured color of some pixels will actually end up getting rejected as an outlier, leading to more or less random fragments of the foreground obstacles showing up in the results. As such, median blending is poorly suited for very crowded scenes where the requirement of 50% unobscured coverage cannot be reliably met. (In such cases manual stitching, as suggested by Jahaziel, may be more effective at the cost of extra labor.)
Also, median blending can give poor results if the actual scene you wish to capture contains some moving elements such as waving flags or clouds moving across the sky. Whereas a long exposure simply causes moving clouds to blur into streaks, median blending will try to color each pixel either "cloud gray" or "sky blue", depending on which color happens to appear in a majority of the shots, potentially producing weird and ugly results. Again, it may be possible to fix this by manual masking (e.g. by using a single shot for the sky and only applying median blending to the non-sky parts of the picture).
Also, as with any image stacking technique, you obviously need a static scene and the ability to take multiple shots of it from the exact same viewpoint. To some extent you can compensate for minor camera shake with digital image alignment, but a good tripod is definitely recommended.
(Unfortunately, I don't personally have any good pictures available to illustrate this technique with. However, the PetaPixel post I linked to in my first paragraph above does have some, as does this tutorial that I found via Google.)
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4\$\begingroup\$ Many median blending applications have options to "throw out" the outliers for each pixel. That is, the values furthest from the median value for each pixel are not used at all. This is a very effective way to eliminate transitory objects/people in a series of stacked images. \$\endgroup\$ Commented Oct 3, 2017 at 20:43
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5\$\begingroup\$ "Many median blending applications have options to throw out the outliers for each pixel." Yes, that's what the word "median" means. It throws out all but one actually. Maybe you're thinking of "mean"? Throwing out outliers makes sense for a mean. For removing things from photos, "mode" should be more effective than either median or mean though, as it would work even if obscured in more than 50% of the shots, as long as the obscurations are different from each other. \$\endgroup\$ Commented Oct 5, 2017 at 20:16
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1\$\begingroup\$ Also explained here photoshoptrainingchannel.com/remove-tourists-stack-mode \$\endgroup\$– RmanoCommented Oct 8, 2017 at 16:04
I actually just shot a photo just like this. This was shot around mid afternoon in downtown Portland and I assure you, there actually was traffic moving along the bridge.
The set up included stacking an 18 stop ND filter on top of a polarizer and exposing the frame for 11 minutes, ish (707 seconds to be exact). As long as the people or cars keep moving, at that slow an exposure, they won't be there at all, not even as partially exposed ghosts.
So, the technique is...
- Get a massive ND filter or filters (it would be good to do some mock calculations to see what you need)
- Lightproof your camera - I used a few layers of painter's tape over the side seals and over the viewfinder. I also used a Canon soft lens bag with the bottom cut off to sleeve over the lens
- Use a tripod and shutter release (I forgot mine for this shot and literally held the button down the whole time. Not fun.)
Using this technique, there will be a very high amount of color noise, especially noticeable in the shadows. I highly recommend taking a dark frame.
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\$\begingroup\$ Nice looking picture, especially the cloud movement! Have you compared this technique with photo stacking? \$\endgroup\$ Commented Oct 3, 2017 at 16:24
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1\$\begingroup\$ @NikitaSokolsky I have not compared long exposure to compositing as of yet. Although, I did a fair bit of photoshop for a portrait studio back in the day and did redo backgrounds when appropriate. I prefer long exposure to composites because of the additional effects of long exposure - the streaking clouds, silky water, and at night - light trails from moving vehicles. \$\endgroup\$– OnBreak.Commented Oct 3, 2017 at 16:33
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2\$\begingroup\$ Some phones contain IR LEDs that can be used as an IR remote control to switch in/out bulb mode. Also if you have a supported camera, magiclantern can be a good help for long time exposures. \$\endgroup\$– PlasmaHHCommented Oct 4, 2017 at 8:52
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1\$\begingroup\$ Manually held bulb exposure for eleven minutes? That is dedication. \$\endgroup\$– BobulousCommented Oct 8, 2017 at 14:42
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1\$\begingroup\$ Lu - the exposure needed to be 11 min and I was shooting digital - so no way to just string a bunch of 30s exposures together. @Arkanon, yea... That'll be the last time I don't check the bag for the shutter release before heading out. "D'oh" moment for sure. \$\endgroup\$– OnBreak.Commented Oct 8, 2017 at 19:52
To elaborate on my earlier comment:
One option (besides the photoshop one mentioned in comment by @Max) is using heavy ND filtration.
This picture is a busy landmark in Prague, shot with a +10 ND filter. The total exposure time was two minutes.
You can just about see people where they stopped for a while (these are tourists, so they most likely consulted their little guide books or took a selfie or whatever).
I suppose that an exposure of five minutes would have removed even these ghosts - but it was not my aim, as I kind of liked the idea of ghosts, not too distracting and not quite there, but visible with a little effort.
I guess the correct technique is long exposure + ND filter. The ND filter is used to allow for longer exposure time. Wherever long exposure is used, a tripod of some suitable substitute is a must.
However, I want to contribute an alternative strategy: Compositing, for those cases where that technique is not feasible.
I've taken shots in touristic locations where a tripod is not allowed and the movement of people is not constant, that is, they stand on one spot for a while, stare, take selfies, then move to another spot, and repeat. The time they remain in the same area can easily be as long as the exposure I'd use (given my current gear).
So what I did is take several shots, using manual settings while standing in the same spot and trying as best as possible to keep the camera at the same spot in space, then used layer alignment software (Photoshop has an auto-align feature), then use layer masks to "hide the people" or "reveal the landscape behind the people". (Manual mode is used for keeping exposure as uniform as possible).
For this to work out, the shots should not be taken too far apart in time, this is for the lighting to remain the same (unless you want or need the opposite) and also, you need to keep track of which parts of the landscape you still need to shot unobstructed, so you get all the shots you need (enough layers) to be able to completely remove all people from the scene.
Note: The long exposure technique, specially not-so-long exposures is better suited for scenes where people/object movement is rather constant, because people or objects standing still for long enough will show in the exposure "like ghosts".
One obvious way to do this is coming to the scene very early in the morning.
If you come at 5:00 in the morning in Summer, chances are, it's already sunny but not a single person in sight. So you won't need any technique!
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2\$\begingroup\$ +1 I've done something similar in London on Christmas day just after sunrise. The place was eerily empty. \$\endgroup\$ Commented Oct 5, 2017 at 10:05
The first photo of a human was taken using a long exposure. The street was bustling but only the man getting his shoes shined remained still throughout the exposure to appear on film. This was an early photo so no ND filter needed!
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2\$\begingroup\$ Ah, if only our digital cameras could go as low as .05 ISO or even .0005 ISO. :-) \$\endgroup\$– OnBreak.Commented Oct 5, 2017 at 22:42
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\$\begingroup\$ Love this photo. What a fascinating glimpse into the past! Makes me kind of sad :( \$\endgroup\$ Commented Oct 8, 2017 at 20:24
Actually you don't need long exposure nor too many shots. The exact method you are looking for is called background subtractions (~foreground detection).
Algorithm detects what is moving in picture so you can remove it (or vice versa). In college we did "Gaussian mixture model for background subtraction" (pdf) which removes moving objects from short video (or even single photo but there will be holes in it and it is not precise).
Example Video -> Picture (first link I found)
Or example of 10 background pictures and 10 with slightly moving object Here -> Graphcut Background Subtraction (In this case median could fail)
It is better than median method, because it will count only "non-moving objects" = If there are some shots and background under/behind some objects are visible only for 30% of them -> median would likely fail, but this not.
More technical info
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\$\begingroup\$ Is there a plugin for Lightroom or Photoshop that can accomplish this? \$\endgroup\$ Commented Oct 5, 2017 at 8:09
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\$\begingroup\$ @NikitaSokolsky I don't have any of these, only "Microsoft Paint" so no idea. There are surely standalone programs for it or you can try something like this photo.stackexchange.com/a/46119/68878 Btw there is a cpp program in this github.com/gpsinghsandhu/Background-Subtraction-using-GMM \$\endgroup\$– Jan IvanCommented Oct 5, 2017 at 8:27
There are several names; “time-lapse”, “abandoned”, “hyper lapse”, “post-apocalyptic” etc.
The principle behind an empty city or street image: the camera exposure accumulates light energy. Ordinarily we expose for a fraction of a second. However we can break this rule of thumb and elongate the exposure so its duration is several minutes or even hours long. This can be accomplished using a very dark neutral density filter and/or a tiny lens aperture or a combination of both.
Another technique is to set the shutter speed to the fastest available setting and couple this with a tiny aperture setting. Then we expose and pause and expose again, over and over. Each exposure accumulates a fraction of the needed exposure. The exposure is repeated numerous times with a delay between each actuation. This method eventually accumulates the needed light energy.
The “ghost” effect is due to the fact that stationary object record but transiting object do not linger long enough to be recorded.
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\$\begingroup\$ The trade off of narrow apertures is increased DoF and increased diffraction. In an ideal world, one would pick the aperture to accomplish their DoF objective and use ND filters and ISO to adjust the shutter speed length. Obviously, if one is without the proper ND filter, things can be tweaked. I think it's also key to point out your second technique as a primarily film technique, as multiple exposures will be needed and most digital cameras don't offer this functionality. \$\endgroup\$– OnBreak.Commented Oct 3, 2017 at 18:04