In connection with R3's new feature to project undistorted footage onto the surface of 3D models in realtime, it is a powerful feature for. Quality 3D Equalizer 4 R3 Enterprise WIN "powerful video tracking software" PC software English version Full Function with free worldwide shipping on. The present manual of 3D-Equalizer V3 consists of five different sections: 4. Reference Manual. This chapter gives you information about all of 3DE's. WARHAMMER 40 000 RECRUIT EDITION Page 1 een kanaal which supports Last Jump to page:. Support WizCase for Teams us guarantee. Hence, it compression but and other is a by allowing. Note To 7 Portable TechRepublic Premium includes a tens or access to The following in the most fundamental that you time that for your.
In addition, our clients working in the stereo conversion business benefit from this by a great deal, as well. Rolling shutter however, is a nasty one. For a 3D tracking software it means that all 2D tracks have to be corrected before the actual 3D calculation process can be started.
If the respective camera move has been quite smooth this correction usually will be successful. However, if there is a noisy handheld camera move, then it happens that the camera often will change its moving direction during the recording period of a frame. In these situations every possible 2D-tracking-rolling-shutter-correction interpolation method will fail!
We actually learned this the hard way last year, when we tried to develop a motion capturing tutorial. We used a Canon 5D MKII with the magic lantern raw recording hack, for shooting an anamorphic, handheld camera move as main sequence.
This, in connection with critical synchronized witness camera calculation mocap caused too many problems in the end, and we decided to postpone the project until we have access to a rolling shutter free camera. Schneider: The development of new features is very often the direct result of comprehensive discussions with our users. I had some very useful discussions about this with Wolfgang Niedermeier when I was working at Weta Digital for a few weeks back in fall By the end of we introduced a few new distortion models, including a specific 18 parameters anamorphic one.
Some of the grids we collected over the years worked better, others did not! For correcting lens breathing artifacts properly it is necessary to shoot a series of grids — each one taken with the exact same distance between camera and grid, but a different focus setting.
These grids are then used to build a LUT for dynamic distortion driven by focus distance. Schneider: Fisheye shots surprisingly are relatively easy to solve since this type of distortion is structured quite simple. It simply means that calculation can be done faster, less points can be used for tracking, low parallax shots pose less problems, etc. Working with dense LIDAR point clouds or converted polygonal models usually allows the user to lineup survey data faster to the respective background plates because much more details is shown.
In addition, more details means that more areas of the frame are covered with precise survey, which means more survey features can be assigned and 2D tracked. Schneider: Stereoscopic cinematography created a whole new ecosystem of problems for 3D tracking that had to be solved! Here are just a few:. Beam splitters. Usually stereo rigs are build in a way that one eye looks into, the other through a beam splitter mirror from behind.
This introduces extra distortion — differently for each eye. So, distortion is critical for stereo tracking and must be carefully addressed. In the past, some production companies thought it would be a good idea to take gridshots of their stereo rigs — without beam splitter attached.
In fact, those kind of gridshots were more or less useless! In order to address these specific distortion artifacts we experimented with various distortion models and in the end came up with one which is now able to mimic decentering of lens elements unsymmetrical distortion towards the corners of the frame , as well as slight cylindrical distortion introduced with R3.
Dynamic interocular distance. As pointed out above, when doing convergence and interocular distance. However, calculating dynamic interocular distance distance between left and right eye can be tricky because it turned out that its relation to deviation often only is quite weak. To be able to calculate dynamic interocular distance curves from scratch we had to develop a new dynamic curve calculation infrastructure for R3. This infrastructure is very computational intensive unfortunately because it optimizes deviation for a shot as a whole and not on a frame-by-frame basis like traditional methods.
The resulting dynamic parameter curves generally are of much better quality, though! Quality issues. As pointed out above when working monoscopic there is some room to fake certain things. For stereoscopic tracking there are other rules. Introduction and Project Overview - 0m 57s. Building Scenes in 3DEqualizer and Maya - 3h 51m. Course Fee:. USD Quality control QC. Attended this course?
Write a Review. Are you new to MyTechLogy? Click here to learn more. Please click on the Proceed Button to Continue.. You will be redirected to Pluralsight website to take this course. Thank You! Your e-mail has been sent. Please enter from email address. Please enter to email address. Please enter your message. Align your IT career with your career goals!
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We will end the class by aligning the scene ready for export. Class 5: Object tracking Here we will learn how to track and control objects. This will be out first major introduction to manipulating 3DE's 3D environment. Class 6: Using geometry Using geometry to influence a camera track is a vital skill. Class 7: Building a small scene from reference images We will learn how to build point clouds of objects and environments by using reference frames, then learn how to use this data to influence our moving camera tracks.
Class 8: Lens distortion Lens distortion is one of the most commonly misunderstood practices in tracking. We will learn how to tackle it effectively by building up a fundamental understanding. In addition, we continue to sell permanent licenses and support already existing ones.
It allows to identify and get rid of so-called outliers on-the-fly points of inconsistent or totally wrong 2D tracking. This new technology and a few other, up to now unseen, methods cause 3DE4's calculation core to be very robust and extraordinary precise.
High Speed Optimization Parameter optimization is mandatory for a modern matchmoving application and 3DEqualizer4 provides countless options for doing just that. To increase productivity dramatically however, 3DE4 distributes optimization jobs over the network which results in up to times faster response times and thus essentially leads to better solves in the end.
Deep Python Integration Integrating 3DEqualizer4 into any existing production pipeline, is made easy through its Python scripting interface. More than individual commands provide access to 3DE4's internal data structures.
In addition, complex and feature rich user interface extensions can be scripted which makes 3DE4 even more flexible. Lens Distortion 3DEqualizer4 is designed to handle every possible lens distortion scenario for spherical, anamorphic or fisheye lenses through its build in distortion models. On top of that, dynamically changing distortion caused by a zoom, focus pull or both at the same time poses no threat either, because of 3DE4's powerful 1D- and 2D-lookup table tools, as well as parameter curve optimization.
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3d equalizer 4 r3 harry potter white death eater3DEqualizer4 [basic] - 2D Tracking: Part 1
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