Open-Source Compositing in Blender
Why an Image Sequence Instead of a Video?
Working with image sequences offers three distinct advantages over working with video. First, with image sequences it's easier to retouch problems on individual frames without reprocessing an entire clip. Second, the variety of alpha-enabled lossless formats gives the operator a far greater flexibility than do video formats, very few of which are lossless or allow embedded alpha channels. Third, video codecs are, frankly, a big pain in the neck. They vary wildly in support from one program to another; however, image formats are universal and comparatively open. Converting your video to image sequences before piping it through your compositor or motion tracker means that you're going to encounter far fewer problems with moving between various programs in your work flow.
With Blender, there is one further advantage to using image sequences, and it has to do with a shortcoming of the program. Blender does not support NTSC drop or nondrop frame encoding, both of which run at 29.97 frames per second (fps). Because it's a European program and has historically been an animation program, the closest approximation it can hit is 30fps. Though .3fps seems like a trivial difference, it's more than enough to slip your sound sync beyond the limits of intelligibility, so it's far better to work with image sequences and then re-multiplex your audio with your video in your video editing software, such as KDENLIVE or OpenMovieEditor.
First, I build the nodes chain for the background image (Figure 6). The first node, moving left to right, is our source node—the photo itself. The second is a scale node, which I use to shrink my rather large digital photograph down to something approximating SD video resolution. Next, I've used an RGB curves node to blow the highlights out of the photo to help sell the illusion that our character is looking from a shaded courtyard out into a wild garden in direct sunlight.
Next, I take the pillars element, which is a rendered layer from within Blender proper, add a procedural glow layer to it, and marry the glow and the pillars to the background. To do this, I take an output from the source and run it through a curves pass to cut out all but the brightest highlights (Figure 7).
I pipe the output from the curves node into a blur node, where I do a 40-pixel x/y tent blur and then direct that into a Screen node, where the glow is composited back over the source picture of the pillars. This married image is then piped into an AlphaOver node, which pastes the pillars and glow over the top of the photo.
Now we come to the color keying. There are a number of ways to do color keying in a node-based compositor, not least among them is building your own keyer out of basic mathematical functions. Although this method is excellent and yields the best results (even on DV footage, which has some very particular problems with color keying), it requires far more ink than I have space for here. So, for the sake of brevity, I selected one of Blender's three native keying nodes, the channel key, to do the job (Figure 8).
The footage, first off, needs some prep, and I've prepared the same footage two different ways—one for pulling the matte and the other for color matching. I first ran the footage through a scaling node to correct for the 16:9 aspect ratio I shot in—as the rest of my elements are in 4:3, I'm pre-correcting the footage rather than doing it at render time. I then ran it through a translate node, which allowed me to reposition the footage to the left, so that we actually can look over the actress' shoulder rather than just staring at the back of her head. From there, I send the output into two parallel subtrees—keying and color correction.
The keying subtree begins with a curves node, which pushes the green in the greenscreen into a narrow band to make it easier for the keyer to latch on to. Then, the output links to the input of a channel keyer, set to pull the cleanest possible matte (which I accomplished by hooking a viewer node to the image output, so I could see what I was doing when I played with the settings). The resulting matte is then run through a blur node. Normally, when keying DV footage, I would apply a 4x2 blur to soften the matte and compensate for the edge artifacting introduced by the DV compression. However, in this case, my edges were dark, because of how I lit the original scene, and I needed some extra feathering so the brightness from the background would bleed over. The output of this blur node is then piped into the Fac input of an AlphaOver node, which marries the greenscreen footage to the rest of the image. But, I'm getting ahead of myself.
Let's back up to the other half of the keying tree. This takes an additional output from the translate node into a curves node, which is set to tamp down the green channel to get rid of the green spill and help sell the different lighting conditions of the foreground vs. the background. The output of this curves node is then run into the bottom input on AlphaOver. Now, to complete the marriage of foreground with background, we run an additional noodle from the AlphaOver node at the end of the background subtree into the top image input on the keyer AlphaOver node.
I could leave things here, but the shot could use a little extra touch to tie all the layers together. To accomplish this, I created a nice lens flare and brought it in to Blender. I ran it through a translate node to put it into the right spot, and from there into another screen node, which lays it over the top of the previous composite. To do this, the lens flare went into the top image input, and the previous AlphaOver node went into the bottom image input, and I messed with the Fac, so I got the right effect—just a hint of extra brightness and anamorphic smear, which helps sell the integration of the different layers (Figure 9).
Now, all that remains is to hook up the Composite node, which is what Blender draws from for its output. This can be found next to the viewer node under output in the add nodes menu, which you get to by pressing the spacebar. Once the composite node is hooked up to the output, go to the renderbuttons window at the bottom of the screen, depress the Do Composite button, and click Render, or, if it's an animation, click Anim (Figure 10). The result of your hard work appears in the render window, from where you can save it using F3 (if it's a still). Or, you can find it on your hard drive in the temp directory or another directory that you have set for output in the renderbuttons window.
Simple though this project is, it gives a good grounding in how nodes work and why they're useful. Enough access to basic image processing functions is included that the capabilities are very deep and extensive, and because of Blender's support for HDR formats, such as OpenEXR, and its lack of limitation on resolutions, it is squarely in the professional compositing camp, albeit at the less-sophisticated end of the spectrum (as one would expect from a brand-new project). It is advancing quickly. In future versions, more user-friendly keying tools and color tools are planned, and hopefully there also will be more direct access to the translation and garbage matting functions, which at the moment are obtuse and inconvenient. Until such tools emerge, I highly recommend that anyone wanting to use Blender as a workhorse compositor invest in a book that teaches how compositing works, both in theory and practice. The best available is The Art and Science of Digital Compositing (The Morgan Kaufmann Series in Computer Graphics).
Using Blender for composite work has significant advantages as well, since it's an integrated part of a 3-D content creation suite, the particle systems, fluid systems, procedural textures and all the traditional 3-D modeling and animation tools are at the compositing system's disposal, which is supremely useful for any number of highly complicated shots that normally would require using several programs in conjunction to pull off correctly.
Here's hoping the Project Peach, the currently in-process sequel production to Elephants Dream, gives us more such innovations that push the compositing system to the next plateau. Until then, there is much to explore, learn and use.
Open-source compositing has finally arrived. Enjoy!
Dan Sawyer is the founder of ArtisticWhispers Productions (www.artisticwhispers.com), a small audio/video studio in the San Francisco Bay Area. He has been an enthusiastic advocate for free and open-source software since the late 1990s, when he founded the Blenderwars filmmaking community (www.blenderwars.com). Current projects include the independent SF feature Hunting Kestral and The Sophia Project, a fine-art photography book centering on strong women in myth.
Fast/Flexible Linux OS Recovery
On Demand Now
In this live one-hour webinar, learn how to enhance your existing backup strategies for complete disaster recovery preparedness using Storix System Backup Administrator (SBAdmin), a highly flexible full-system recovery solution for UNIX and Linux systems.
Join Linux Journal's Shawn Powers and David Huffman, President/CEO, Storix, Inc.
Free to Linux Journal readers.Register Now!
- Sony Settles in Linux Battle
- Download "Linux Management with Red Hat Satellite: Measuring Business Impact and ROI"
- Libarchive Security Flaw Discovered
- Profiles and RC Files
- Maru OS Brings Debian to Your Phone
- Understanding Ceph and Its Place in the Market
- Snappy Moves to New Platforms
- The Giant Zero, Part 0.x
- Git 2.9 Released
- Astronomy for KDE
With all the industry talk about the benefits of Linux on Power and all the performance advantages offered by its open architecture, you may be considering a move in that direction. If you are thinking about analytics, big data and cloud computing, you would be right to evaluate Power. The idea of using commodity x86 hardware and replacing it every three years is an outdated cost model. It doesn’t consider the total cost of ownership, and it doesn’t consider the advantage of real processing power, high-availability and multithreading like a demon.
This ebook takes a look at some of the practical applications of the Linux on Power platform and ways you might bring all the performance power of this open architecture to bear for your organization. There are no smoke and mirrors here—just hard, cold, empirical evidence provided by independent sources. I also consider some innovative ways Linux on Power will be used in the future.Get the Guide