Wednesday, September 06, 2017

BigSUR: Large-scale Structured Urban Reconstruction

Siggraph Asia 2017 [pdf, ppt, doi, texcode]

Tom Kelly, John Femiani, Peter Wonka, & Niloy Mitra

Our urban reconstruction project was accepted to SGA!





The creation of high-quality semantically parsed 3D models for dense metropolitan areas is a fundamental urban modeling problem. Although recent advances in acquisition techniques and processing algorithms have resulted in large-scale imagery or 3D polygonal reconstructions, such data-sources are typically noisy, and incomplete, with no semantic structure. In this paper, we present an automatic data fusion technique that produces high-quality structured models of city blocks. From coarse polygonal meshes, street-level imagery, and GIS footprints, we formulate a binary integer program that globally balances sources of error to produce semantically parsed mass models with associated façade elements. We demonstrate our system on four city regions of varying complexity; our examples typically contain densely built urban blocks spanning hundreds of buildings. In our largest example, we produce a structured model of 37 city blocks spanning a total of 1,011 buildings at a scale and quality previously impossible to achieve automatically.








Tuesday, August 01, 2017

Symposium On Geometry Processing 2017

It was great to help out with SGP 2017 this year! Especially since I got to spend 5 days playing with photos and videos. Some photos are here, and the videos I edited from the grad school follow (more info here)...

Friday, March 17, 2017

On Realism of Architectural Procedural Models

Eurographics 2017 pdf | doi | author | supporting ]
Jan Beneš, Tom Kelly, Filip Děchtěrenko, Jaroslav Křivánek and Pascal Müller  
Congratulations to Jan on his hard-earned Eurographics paper! The concept for this work was developed in an old blog post, the work was started while we were at Esri R&D in Zurich, and continued back in Prague. Abstract follows.
The goal of procedural modeling is to generate realistic content. The realism of this content is typically assessed by qualitatively evaluating a small number of results, or, less frequently, by conducting a user study. However, there is a lack of systematic treatment and understanding of what is considered realistic, both in procedural modeling and for images in general. We conduct a user study that primarily investigates the realism of procedurally generated buildings. Specifically, we investigate the role of fine and coarse details, and investigate which other factors contribute to the perception of realism. We find that realism is carried on different scales, and identify other factors that contribute to the realism of procedural and non-procedural buildings.