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Browsing by Author Khoshelham, K.

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  • BB

  • 3D Modelling of interior spaces :learning the language of indoor architecture

    • Authors: Khoshelham, K.;  Advisor: -;  Participants: - (2014)

  • 3D models of indoor environments are important in many applications, but they usually exist only for newly constructed buildings. Automated approaches to modelling indoor environments from imagery and/or point clouds can make the process easier, faster and cheaper. We present an approach to 3D indoor modelling based on a shape grammar. We demonstrate that interior spaces can be modelled by iteratively placing, connecting and merging cuboid shapes. We also show that the parameters and sequence of grammar rules can be learned automatically from a point cloud. Experiments with simulated and real point clouds show promising results, and indicate the potential of the method in 3D modelling...
  • LT

  • Acquisition and processing of point clouds to support building damage assessment :Powerpoint

    • Authors: Khoshelham, K.;  Advisor: -;  Participants: - (2013)

  • This lecture presents: Why building damage assessment?; Why point clouds?; Acquisition of point clouds; Classification of damaged roofs in aerial point clouds; Classification of damaged roofs in aerial point clouds; What are features of damaged/intact roof segments?; Feature selection; Visual analysis; Structural health monitoring.
  • BB

  • Exploiting indoor mobile laser scanner trajectories for semantic interpretation of point clouds

    • Authors: Díaz Vilariño, L.; Khoshelham, K.;  Advisor: -;  Participants: - (2017)

  • Automated generation of 3D indoor models from point cloud data has been a topic of intensive research in recent years. While results on various datasets have been reported in literature, a comparison of the performance of different methods has not been possible due to the lack of benchmark datasets and a common evaluation framework. The ISPRS benchmark on indoor modelling aims to address this issue by providing a public benchmark dataset and an evaluation framework for performance comparison of indoor modelling methods. In this paper, we present the benchmark dataset comprising several point clouds of indoor environments captured by different sensors. We also discuss the evaluation an...
  • BB

  • Generation and weighting of 3D point correspondences for improved registration of RGB-D data :ISPRS Workshop laser scanning, 11-13 November 2013, Antalya, Turkey

    • Authors: Khoshelham, K.;  Advisor: -;  Participants: - (2013)

  • Registration of RGB-D data using visual features is often influenced by errors in the transformation of visual features to 3D space as well as the random error of individual 3D points. In a long sequence, these errors accumulate and lead to inaccurate and deformed point clouds, particularly in situations where loop closing is not feasible. We present an epipolar search method for accurate transformation of the keypoints from 2D to 3D space, and define weights for the 3D points based on the theoretical random error of depth measurements. Our results show that the epipolar search method results in more accurate 3D correspondences. We also demonstrate that weighting the 3D points improve...
  • LT

  • The integration of cycling and public transport : principles and examples :Powerpoint

    • Authors: Khoshelham, K.;  Advisor: -;  Participants: - (2013)

  • This lecture presents: Session two- the integration of cycling and public transport; Objectives of this workshop; Rationale for integration of bike and PT; Density of pt stations: centre of Rio de Janeiro; Finding the optimal mix of modes; Buses and bikes: friends or foes?;Public transport integration.