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We present a learning-based approach to reconstruct buildings as 3D polygonal meshes from airborne LiDAR point clouds. What makes 3D building reconstruction from airborne LiDAR hard is the large diversity of building designs and especially…

Computer Vision and Pattern Recognition · Computer Science 2024-07-30 Yujia Liu , Anton Obukhov , Jan Dirk Wegner , Konrad Schindler

We present a fully automatic approach for reconstructing compact 3D building models from large-scale airborne point clouds. A major challenge of urban reconstruction from airborne LiDAR point clouds lies in that the vertical walls are…

Computer Vision and Pattern Recognition · Computer Science 2023-03-10 Jin Huang , Jantien Stoter , Ravi Peters , Liangliang Nan

We present a novel method for reconstructing parametric, volumetric, multi-story building models from unstructured, unfiltered indoor point clouds by means of solving an integer linear optimization problem. Our approach overcomes…

Graphics · Computer Science 2019-07-02 Sebastian Ochmann , Richard Vock , Reinhard Klein

We propose a novel and flexible roof modeling approach that can be used for constructing planar 3D polygon roof meshes. Our method uses a graph structure to encode roof topology and enforces the roof validity by optimizing a simple but…

Graphics · Computer Science 2021-09-17 Jing Ren , Biao Zhang , Bojian Wu , Jianqiang Huang , Lubin Fan , Maks Ovsjanikov , Peter Wonka

Creating geometric abstracted models from image-based scene reconstructions is difficult due to noise and irregularities in the reconstructed model. In this paper, we present a geometric modeling method for noisy reconstructions dominated…

Computer Vision and Pattern Recognition · Computer Science 2014-04-22 Thomas Holzmann , Christof Hoppe , Stefan Kluckner , Horst Bischof

Building models are conventionally reconstructed by building roof points planar segmentation and then using a topology graph to group the planes together. Roof edges and vertices are then mathematically represented by intersecting segmented…

Computer Vision and Pattern Recognition · Computer Science 2020-10-16 Zhixin Li , Wenyuan Zhang , Jie Shan

Building an online 3D LiDAR mapping system that produces a detailed surface reconstruction while remaining computationally efficient is a challenging task. In this paper, we present PlanarMesh, a novel incremental, mesh-based LiDAR…

Robotics · Computer Science 2025-10-16 Jiahao Wang , Nived Chebrolu , Yifu Tao , Lintong Zhang , Ayoung Kim , Maurice Fallon

While three-dimensional (3D) building models play an increasingly pivotal role in many real-world applications, obtaining a compact representation of buildings remains an open problem. In this paper, we present a novel framework for…

Computer Vision and Pattern Recognition · Computer Science 2022-12-20 Zhaiyu Chen , Hugo Ledoux , Seyran Khademi , Liangliang Nan

Man-made environments typically comprise planar structures that exhibit numerous geometric relationships, such as parallelism, coplanarity, and orthogonality. Making full use of these relationships can considerably improve the robustness of…

Computer Vision and Pattern Recognition · Computer Science 2019-05-21 Yangbin Lin , Jialian Li , Cheng Wang , Zhonggui Chen , Zongyue Wang , Jonathan Li

3D urban reconstruction of buildings from remotely sensed imagery has drawn significant attention during the past two decades. While aerial imagery and LiDAR provide higher resolution, satellite imagery is cheaper and more efficient to…

Computer Vision and Pattern Recognition · Computer Science 2020-05-20 Bo Xu , Xu Zhang , Zhixin Li , Matt Leotta , Shih-Fu Chang , Jie Shan

We address 2D floorplan reconstruction from 3D scans. Existing approaches typically employ heuristically designed multi-stage pipelines. Instead, we formulate floorplan reconstruction as a single-stage structured prediction task: find a…

Computer Vision and Pattern Recognition · Computer Science 2023-03-29 Yuanwen Yue , Theodora Kontogianni , Konrad Schindler , Francis Engelmann

Generic 3D reconstruction from a single image is a difficult problem. A lot of data loss occurs in the projection. A domain based approach to reconstruction where we solve a smaller set of problems for a particular use case lead to greater…

Computer Vision and Pattern Recognition · Computer Science 2016-06-21 Atishay Jain

Airborne LiDAR (Light Detection and Ranging) data is widely applied in building reconstruction, with studies reporting success in typical buildings. However, the reconstruction of curved buildings remains an open research problem. To this…

Computer Vision and Pattern Recognition · Computer Science 2021-02-24 Jingwei Song , Shaobo Xia , Jun Wang , Dong Chen

The 3D building modelling is important in urban planning and related domains that draw upon the content of 3D models of urban scenes. Such 3D models can be used to visualize city images at multiple scales from individual buildings to entire…

Computer Vision and Pattern Recognition · Computer Science 2021-06-30 Kenichi Sugihara , Martin Wallace , Kongwen , Zhang , Youry Khmelevsky

We present an approach for the planar surface reconstruction of a scene from images with limited overlap. This reconstruction task is challenging since it requires jointly reasoning about single image 3D reconstruction, correspondence…

Computer Vision and Pattern Recognition · Computer Science 2022-08-09 Samir Agarwala , Linyi Jin , Chris Rockwell , David F. Fouhey

In this paper, we introduce a novel method called FRI-Net for 2D floorplan reconstruction from 3D point cloud. Existing methods typically rely on corner regression or box regression, which lack consideration for the global shapes of rooms.…

Computer Vision and Pattern Recognition · Computer Science 2024-07-16 Honghao Xu , Juzhan Xu , Zeyu Huang , Pengfei Xu , Hui Huang , Ruizhen Hu

In this paper, we develop a new method to automatically convert 2D line drawings from three orthographic views into 3D CAD models. Existing methods for this problem reconstruct 3D models by back-projecting the 2D observations into 3D space…

Computer Vision and Pattern Recognition · Computer Science 2023-08-11 Wentao Hu , Jia Zheng , Zixin Zhang , Xiaojun Yuan , Jian Yin , Zihan Zhou

Digitalization of existing buildings and the creation of 3D BIM models for them has become crucial for many tasks. Of particular importance are floor plans, which contain information about building layouts and are vital for processes such…

Computer Vision and Pattern Recognition · Computer Science 2023-12-14 Aleixo Cambeiro Barreiro , Mariusz Trzeciakiewicz , Anna Hilsmann , Peter Eisert

Plane arrangements are a useful tool for surface and volume modelling. However, their main drawback is poor scalability. We introduce two key novelties that enable the construction of plane arrangements for complex objects and entire…

Computational Geometry · Computer Science 2024-07-12 Raphael Sulzer , Florent Lafarge

Creating 3D maps on robots and other mobile devices has become a reality in recent years. Online 3D reconstruction enables many exciting applications in robotics and AR/VR gaming. However, the reconstructions are noisy and generally…

Computer Vision and Pattern Recognition · Computer Science 2017-03-29 Maksym Dzitsiuk , Jürgen Sturm , Robert Maier , Lingni Ma , Daniel Cremers
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