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Multi-image 3D Reconstruction: A Photogrammetric and Structure from Motion Comparative Analysis

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Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10964))

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Abstract

Virtual Web Reconstruction of cultural heritage is one of the most interesting and innovative tool to preserve historical, architectural and artistic memory of many sites, particularly the ones prone to disappear, as well as to promote territories and tourism development. Recently, high-resolution 3D models are realized through improved technology and integration of survey techniques such as laser scanning and photogrammetry. However, the large and complex volume of 3D data makes difficult to access and handle them for either experts and citizens. In particular, the rendering of large 3D models may influence the performance of web publication and browsing. Considering this background, the goal of this paper is the comparison between the level of accuracy and realism of 3D models optimized using two different mesh simplification.

The metric used is based on the Hausdorff distance which is a generic technique to define a distance between two nonempty sets, considering 3D scanner mesh as a reference in the measure. The “Casale di Pacciano” near Bisceglie (Apulia region, Italy), has been investigated as study case.

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Acknowledgement

The authors are grateful to VisualDrone (an Apulian start-up operating in the world of UAS), to Dr. Antonio Novelli for their precious collaboration in the survey campaign and to Dr. Giuseppe Troilo, president of the Physis Trekking Astrophile Association, for his availability.

Author information

Authors and Affiliations

  1. DICATECh—Politecnico di Bari, Via Orabona 4, 70125, Bari, Italy

    Grazia Caradonna & Eufemia Tarantino

  2. DABC - Politecnico di Milano, 20133, Milan, Italy

    Marco Scaioni

  3. ARPA Puglia, Via Trieste 27, 70126, Bari, Italy

    Benedetto Figorito

Authors
  1. Grazia Caradonna
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  2. Eufemia Tarantino
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  3. Marco Scaioni
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  4. Benedetto Figorito
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Corresponding author

Correspondence to Eufemia Tarantino .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

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Caradonna, G., Tarantino, E., Scaioni, M., Figorito, B. (2018). Multi-image 3D Reconstruction: A Photogrammetric and Structure from Motion Comparative Analysis. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10964. Springer, Cham. https://doi.org/10.1007/978-3-319-95174-4_25

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  • DOI: https://doi.org/10.1007/978-3-319-95174-4_25

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  • Publisher Name: Springer, Cham

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  • Online ISBN: 978-3-319-95174-4

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