Feature-Based Quality Evaluation of 3d Point Clouds – Study of the Performance of 3d Registration Algorithms

Ridene, Taha; Goulette, François; Chendeb, Safwan

doi:10.5194/isprsarchives-xl-2-w2-59-2013

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…More in general, the evaluation of the correctness and accuracy of a point cloud can be carried out by following at least these three approaches: cloud to cloud [30], point to point [31], and cloud to feature [32,33] comparisons.…”

Section: Quantitative Criteria For the Evaluationmentioning

confidence: 99%

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

et al. 2018

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Nowadays, simultaneous localization and mapping (SLAM) algorithms support several commercial sensors which have recently been introduced to the market, and, like the more common mobile mapping systems (MMSs), are designed to acquire three-dimensional and high-resolution point clouds. The new systems are said to work both in external and internal environments, and completely avoid the use of targets and control points. The possibility of increasing productivity in three-dimensional digitization projects is fascinating, but data quality needs to be carefully evaluated to define appropriate fields of application. The paper presents the analytical measurement principle of these indoor mobile mapping systems (IMMSs) and the results of some tests performed on three commercial systems. A common test field was defined in order to acquire comparable data. By taking the already available terrestrial laser scan survey as the ground truth, the datasets under examination were compared with the reference and some assessments are presented which consider both quantitative and qualitative aspects. Geometric deformation in the final models was computed using the so-called Multiscale Model to Model Cloud Comparison (M3C2) algorithm. Cross sections and cloud to mesh (C2M) distances were also employed for a more detailed analysis. The real usability assessment is based on the features of recognizability, double surface evidence, and visualization effectiveness. For these evaluations, comparative images and tables are presented.

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Section: Quantitative Criteria For the Evaluationmentioning

confidence: 99%

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

et al. 2018

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“…Related works on the potential of MMS to compete with the more traditional survey techniques are taken into account, as well as the information regarding the data elaboration phase related to SLAM algorithms. An evaluation of the quality and accuracy of MMSs 3D point clouds can be found in [11][12][13]; experiences on the use of portable mapping systems combined with other survey techniques are described in [14,15]; and comparisons between SLAM surveys and TLS/photogrammetric surveys are well described in [16][17][18][19]. Additionally, more specific tests and analyses of the performance of different commercial IMMSs were performed in [20,21], and experiences in the deployment of these systems for the documentation of cultural heritage can be found in [22][23][24][25][26].…”

Section: Introductionmentioning

confidence: 99%

New Tools for Urban Analysis: A SLAM-Based Research in Venice

Tanduo¹,

Martino²,

Balletti³

et al. 2022

Remote Sensing

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This research proposes a detailed analysis of the potential of MMS (Mobile Mapping Systems), supported by SLAM (Simultaneous Localisation And Mapping) algorithms, performed on a multiscale test field in order to make a concrete contribution to the morphological study of cities. These systems, developed with the aim of acquiring a large number of points in a short time, are able to map the surrounding area and automatically localise themselves in real time in relation to a determined reference system. The analysed area, located in Venice, was divided into three different test fields characterised by typical elements potentially comparable to those of other urban realities. The data were acquired using the LiBackPack C50, Kaarta Stencil and Heron Lite systems and compared quantitatively and qualitatively with data obtained from more traditional surveying techniques. Specifically, the data obtained from TLS (Terrestrial Laser Scanning) surveys, supported by topographic measurements, were the most accurate basis on which to evaluate the accuracy and completeness of the three different MMS devices. The standard deviation values were initially analysed in the final 3D global models using the C2C (Cloud to Cloud) and C2M (Cloud to Mesh) distance calculation methods. Subsequently, the geometric differences were investigated through the extraction of horizontal profiles, and two more specific 2D analyses were carried out: the first inspecting the residual parameters calculated after the Helmert transformation from two sets of control points obtained from the profiles, followed by a local strain analysis. The study of the local deformation parameters allowed us to validate the results obtained and to identify the real limits of these survey instruments. The aim was to make a concrete contribution to the formalisation of an operative protocol for the morphological study of the city, exploiting the potential of these technologies to overcome the differences in scale and the gap between outdoor and indoor spaces.

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A Novel Approach of Laser Scanning Point Cloud Quality Assessment Using Wavelet Analysis

Fryśkowska

2017

2017 Baltic Geodetic Congress (BGC Geomatics)

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Feature-Based Quality Evaluation of 3d Point Clouds – Study of the Performance of 3d Registration Algorithms

Cited by 4 publications

References 10 publications

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

Examination of Indoor Mobile Mapping Systems in a Diversified Internal/External Test Field

New Tools for Urban Analysis: A SLAM-Based Research in Venice

A Novel Approach of Laser Scanning Point Cloud Quality Assessment Using Wavelet Analysis

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