Autodesk has recently launched the latest version of APS Viewer, previously known as Autodesk Forge Viewer, introducing an impressive feature called selective loading. This feature addresses one of the major challenges in managing BIM, which is the immense size of the model. In practical construction projects, an Autodesk Revit file can easily reach terabytes in size. Even after converting the model into SVF/SVF2 format, the data volume that needs to be transmitted to the client remains in the range of hundreds of megabytes or gigabytes. With selective loading, users now have the ability to filter and display only the specific parts of the model they wish to see. This filtering occurs on the server side, resulting in a significant reduction in the amount of data transmitted.
Using this feature you can improve the performance of your application since the model loading time will be significantly faster, or you can implement “saved views” feature, allowing your users to load just a subset of their designs based on previously stored filters.
The Billion Dollar Code is a new mini-series from Netflix that tells the story of ART+COM’s lawsuit against Google, purportedly for infringing their patent in the software (Keyhole) that would later become Google Earth.
ART+COM’s patent was invalidated in 2017 because another group, Sarnoff Research Center (SRI) in Palo Alto had shown a similar system in 1994, showing just how obvious these ideas were by 1995. In a stunning irony, the people asserting they “invented” Google Earth were bested by a pre-existing system with essentially the same name and function as theirs.
Autodesk Forge has a nice feature known as section hatches. This feature fills out (or caps) parts of the model that is cut out by the section plane with a hatch pattern. You can see this in action below, when a z-plane cuts across the building:
The addition of hatches helps the viewer to see which parts of the model are cut out.
However, there is a problem with section hatches on some models, such as this:
The left part of the building is wrongly covered by the hatch and there are some weird triangulation problems on the right. This could happen when the meshes in the model is not 2-manifold.
Starting with Forge Viewer v7.35, there is a new option to turn off section hatches. It is located in the Configuration tab under Settings.
When you turn off section hatches, you still get the clipping, but without the potential artifacts:
You can also programmatically enable this behaviour by calling:
As usual, Unreal’s demo are always super impressive. New features in Unreal Engine 5: unlimited polygon, real-time global illumination. Other than realistic animation, these are like the holy-grail of real-time graphics. We’ll have to wait till 2021 to see if they can deliver these in actual production.
The following images are not 3D renders. They are screenshots from the actual real-time demo.
Nanite virtualized micropolygon geometry frees artists to create as much geometric detail as the eye can see. Nanite virtualized geometry means that film-quality source art comprising hundreds of millions or billions of polygons can be imported directly into Unreal Engine—anything from ZBrush sculpts to photogrammetry scans to CAD data—and it just works. Nanite geometry is streamed and scaled in real time so there are no more polygon count budgets, polygon memory budgets, or draw count budgets; there is no need to bake details to normal maps or manually author LODs; and there is no loss in quality
Activists created a digital library in Minecraft. There are some criticisms about the practicality of this movement, but you cannot deny that the library building is very impressive – the designers have put a lot of thought into each “wing”.
Reporters Without Borders created “The Uncensored Library” within “Minecraft” as what it calls a “loophole to overcome censorship.” The digital library in an open “Minecraft” server has articles and information that has been censored in many countries, but is accessible through the game.
OneMap3D is envisioned to be “Asia’s first, open-source 3D nationwide map”.
OneMap 3D (sic) will enable users to orient themselves in a three-dimensional representation of the real world, empowering them to navigate around identifiable landmarks, walkways and even void deck spaces. OneMap 3D will first be launched to developers by the end of 2020.
Full disclosure: we are enrolled in OneMap3D Developer Programme and are bounded by the NDA. The following content does not reveal anything that is forbidden by the NDA.
It appears that earlier articles use the term “OneMap 3D” and recent ones “OneMap3D”. For consistency we will use the term “OneMap3D”.
In 2014, Singapore announced the launch of the Smart Nation Initiative, of which Virtual Singapore is a key feature. One of the products of Virtual Singapore is the island-wide 3D map of Singapore. Today, the custodian of this 3D map is the Singapore Land Authority (SLA), and the platform in which this data will be available is called OneMap3D.
This article primarily focuses on the comparison of 3D model available on Google Maps and OneMap3D. Other aspects such as API capabilities etc are not explored.
Google Maps 3D
When Google Maps was launched, the world of digital mapping was introduced to the masses. It began with making tile-based maps accessible through the browser. Then Google acquired a company called KeyHole and took over the product to be launched as Google Earth, a desktop application. Google Earth was its foray into interactive 3D mapping – fulling Neal Stephenson’s vision in a round-about way since the original KeyHole application was said to be inspired by the author’s novel.
Nowadays, the line is blurring between Google Maps and Google Earth since the former is capable of showing 3D content as well. On your modern desktop browser, just turn on Satellite mode and if the area happens to have 3D content it will be shown. Singapore is lucky enough to have this feature enabled for a large part of the main island. Our comparison will be based on the 3D content available through Google Maps.
OneMap3D is envisioned to be the upgrade from the existing OneMap service provided by SLA. By enrolling in the OneMap3D Developer Programme, we are given access to 1) 3D building models, and 2) API to access 3D models.
The 3D building models are provided in CityGML version 2 format. For those who are unfamiliar, “CityGML is an open data model and XML-based format for the storage and exchange of virtual 3D city models.”. It is both an OGC as well as an ISO standard.
The tools for processing CityGML are quite lacking unfortunately, as commercial support is not high. For the purpose of this comparison, we will import CityGML files into 3DCityDB, and export it out as a COLLADA file.
At this zoom distance, both models in Google Maps and OneMap3D look quite good. It may not be apparent, but the water tanks on the rooftops for OneMap3D are modelled separately.
For a more articulated building, OneMap3D clearly shines. One can see small features such as the cross on the rooftop and words on the facade can be read.
Google doesn’t reveal how its 3D mapping content is constructed but one can try to guess. One FAQ for Google Earth – which probably shares the same data sources as Google Maps – says that imagery collected includes “satellite, aerial, 3D, and Street View images” from “providers and platforms”. The fusion of all these data into a model should be largely automated and powered by their proprietary algorithms.
Based on how 3D contents are streamed in Google Maps, they should be using some form of progressive mesh techniques.
OneMap3D models are based on buildings and each building is provided as a CityGML file. The likely data sources include LiDAR, aerial photography, site survey, official building footprint, etc. It is apparent that the models are handcrafted through some modelling software and converted to the designated format.
As with most things, there are pros and cons to either modelling approaches. Here is a non-exhaustive comparison:
Colors/textures can be inconsistent
Textures can look repetitive
Sharp even when zoomed in
Subject to human errors
Small features can be seen
Ground-level details can be seen
Consistent look and feel
“Melted building” syndrome when close-up
Scalable to large areas
Edges are not straight
Building not separated from terrain mesh
Shadows are not removed
More OneMap3D Examples
OneMap3D represents the herculean effort of creating and maintaining an up-to-date database of 3D building models for the whole of Singapore.
Google Maps approach on the other hand, allows it to scale to potentially any city in the world. And it will only get better with newer data acquisition techniques and algorithms.
Beyond 3D representation, however, OneMap3D’s models also contain rich semantic information that allows it to be used in different types of applications, eg. computing roof surface area. And since buildings are standard 3D assets, they can be used in various types of 3D applications such as VR, gaming, rendering etc. There are clearly pros and cons of either approach and we are excited to see the types of applications that OneMap3D will bring when it officially launches end of the year.
Edit: Contact me if you would like to know more about converting OneMap3D data to other commonly used 3D formats.
Someone implemented the same 3D scene using different API/frameworks. Interesting from a learning point of view. But as someone commented in HN, some implementations could be made to look the same given enough effort.
This repository contains multiple implementations of the same 3D scene, using different APIs and frameworks on various platforms. The goal is to provide a comparison between multiple rendering methods. This is inherently biased due to the variety of algorithms used and available CPU/GPU configurations, but can hopefully still provide interesting insights on 3D rendering.