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Nov 2, 2016 - Capturing Reality. Publisher: Capturing Reality. Accurate software for creating 3D content from photos and/or laser scans for virtual reality,.
We're happy to announce that the plugin is ready for testing. It’s still under the beta label for the time being, but we would love to hear your feedback. The plugin allows you to run processes from within Houdini in order to streamline your pipeline. It is designed to take multiple images as input, and generate high resolutions models as the output, which can then be ran through. It is not designed to be a complete replacement of every feature in RC, but the ones that fit well in a Houdini pipeline. Is a state-of-the-art all-in-one photogrammetry software solution which automatically extracts beautiful and accurate 3D models from a set of ordinary images and / or laser-scans. Update 1 - 9/18/2018 Version 0.6 has been uploaded and the download link has been updated.
Apologies for the interruption on the licensing side, we're still working through some of the kinks. V0.6 Release Notes • Nodes now have a ' Manual Mode' on by default where the cooking will need to be explicitly invoked. This will help with runaway processes • Licensing is now done through a Get License button in each node, this will launch the system browser. • For Win7 users, there is an environment variable to use a Qt Browser instead of the system browser for licensing.
It is RC_USE_QT_BROWSER • Texture Model was broken out from Create Model and into it's own node, which is combined with the Load Texture Model (which is now gone) • Caching is now done on both the alignment and the model, allowing for files to be saved with references to the models and opened quickly • Max Display Polycount added to the Create Model node, this allows for simplifying the model before rendering it. There is still an internal representation that is full res • Create Model now has a export raw model option where it'll dump out the full res ply object • Create Model nodes can now be chained together in other to generate lower resolution models for texturing purposes, while still maintaining a high original • Align Images Node will now display the number of cameras aligned in the used component (support for multiple components is planned). To activate the plugin, drop an RC Align Images node and click on the Get License Button. This will launch a web browser and entering your credentials to generate a license.txt file, which will then reside in your $HOME directory (usually C:/Users/USERNAME/), and should only happen the first time you run, or when you need to renew your licenses.
Note: It is possible that your browser opened and you didn't realize that there is a new tab open, if you don't see anything happen, double check your tabs. Parameters Image Downscale Factor - scale down your images in order to speed up processing times.
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1 will not scale, 2 will half the image, 3 will quarter it, so on and so forth Max Features Per Image - defines the absolute limit to features used per image, More features mean lower speed but may result in fewer components. Image Overlap - defines how much of the image space is covered with the same part of the object, when talking about neighboring images Preselector Features - This is the number of features that will be used in alignment from the detected ones. Optimally, set it to 1/4-1/2 of the detected features.
Detector Sensitivity - The natural feature detector focuses on places in an image which can be easily noticed and tend to be stable under various image and geometry transformations - e.g. Changing the view point or changing lighting conditions. With this setting you can control how the detector looks at the stability. Setting it to ultra will detect more feature points in places with weak texture. This will also add points, which might have texture due to noise in the image. Setting this value to low will, on the other hand, throw away feature points which could be used for image registration.
Draft Mode - Runs the alignment with hardcoded lower settings Cache File - Location to store RC progress file. These files will be passed from node to node. Use Input's Model Data- Don't recompute the model data, but use the input's data. This is useful to chain Create Model nodes together in order to do different simplification passes.
