Academic Lecture——Building3D: A Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds

• 发布时间：[2023-06-28] 来源：[学院] 点击量：[2654]

Time: 2:30 p.m Thursday, June 29, 2023
Place:Conference Room 501, School of Electronic Information, Wuhan University (5th Floor, West Complex Building, Department of Information)
Speaker:Ruisheng Wang

Abstract:
Urban modeling from LiDAR point clouds is an important topic in computer vision, computer graphics, photogrammetry and remote sensing. 3D city models have found a wide range of applications in smart cities, autonomous navigation, urban planning and mapping etc. However, existing datasets for 3D modeling mainly focus on common objects such as furniture or cars. Lack of building datasets has become a major obstacle for applying deep learning technology to specific domains such as urban modeling. In this talk, we present a urban-scale dataset consisting of more than 160 thousands buildings along with corresponding point clouds, mesh and wire-frame models, covering 16 cities in Estonia about 998 Km2. We extensively evaluate performance of state-of-the-art algorithms including handcrafted and deep feature-based methods. Experimental results indicate that Building3D has challenges of high intra-class variance, data imbalance and largescale noises. The Building3D is the first and largest urban-scale building modeling benchmark, allowing a comparison of supervised and self-supervised learning methods. We believe that our Building3D will facilitate future research on urban modeling, aerial path planning, mesh simplification, and semantic/part segmentation etc.

Biography:
Dr. Ruisheng Wang is a professor in the Department of Geomatics Engineering at the University of Calgary which he joined in 2012. His research interests are photogrammetry, remote sensing, and computer vision. Prior to that, he worked as an industrial researcher at the HERE (formerly NAVTEQ) in Chicago, USA since 2008. His primary research focus there was on mobile LiDAR data processing for next generation map making and navigation. Dr. Wang received ISPRS Samuel Gamble award in 2022, Google Research Awards in 2014 and 2016, and eight NAVTEQ Significant Development Awards, NOKIA from 2009 to 2010.  Dr. Wang holds a Ph.D. in Electrical and Computer Engineering from the McGill University, a M.Sc.E.in Geomatics Engineering from the University of New Brunswick, and a B.Eng. in Photogrammetry and Remote Sensing from the Wuhan University, respectively.