Skip to main content

Comparison of Free Android Mobile 3D Modeling Tools for AR Apps

  • Conference paper
  • First Online:
Technologies and Innovation (CITI 2022)

Abstract

User expectations regarding the functionality of mobile devices have led to the development of applications with digital representations very close to reality that require the least amount of resources. Until recently, three-dimensional modeling required the compulsory participation of an expert in the field, increasing two valuable resources: time and money. Augmented reality offers the possibility of recreating reality on your smartphones through 3D objects. Currently there are applications that generate three-dimensional objects using photogrammetry. The objective of this work was to compare free Android mobile applications, to identify one that generates a good enough result to be used in augmented reality. The investigation corresponds to the quantitative model with experimental design, the tests were carried out in: 3D Escáner Live, 3DScanLink and Qlone; the results were tested on a prototype AR app. For the analysis, the quantitative evaluation methodology of textured models was used with the metrics: density, in which the 3D Escáner Live app generated a higher value in two of its three objects, with an equivalent to 66.67%; as well as in the difference of forms and comparison of contours where it obtained the highest percentage with 90.23%; and in the variation of the curvature in which it reached an average of 62.61% similarity in contours and edges; while in the number of textures over the number of visible points, all the applications obtained 100%. In conclusion, 3D Escáner Live is the one that generates a 3D model of better quality.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 64.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 84.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Barrile, V., Fotia, A., Bilotta, G.: Geomatics and augmented reality experiments for the cultural heritage. Appl. Geomatics 10(4), 569–578 (2018). https://doi.org/10.1007/s12518-018-0231-5

    Article  Google Scholar 

  2. Ch’ng, E., Cai, S., Zhang, T.E., Leow, F.T.: Crowdsourcing 3D cultural heritage: best practice for mass photogrammetry. J. Cult. Herit. Manag. Sustain. Dev. 9(1), 24–42 (2019)

    Google Scholar 

  3. Prokhorov, O.V., Lisovichenko, V.O., Mazorchuk, M.S., Kuzminska, O.H.: Developing a 3D quest game for career guidance to estimate students’ digital competences. CEUR Workshop Proc. 2731, 312–327 (2020)

    Google Scholar 

  4. Iglhaut, J., Cabo, C., Puliti, S., Piermattei, L., O’Connor, J., Rosette, J.: Structure from motion photogrammetry in forestry: a review. Curr. For. Rep. 5(3), 155–168 (2019). https://doi.org/10.1007/s40725-019-00094-3

    Article  Google Scholar 

  5. Eve, S.: Losing our senses, an exploration of 3D object scanning. Open Archaeol. 4(1), 114–122 (2018)

    Article  Google Scholar 

  6. Tokarieva, V., Volkova, N.P., Harkusha, I.V., Soloviev, V.N.: Educational digital games: models and implementation. CEUR Workshop Proc. 2433, 74–89 (2019)

    Article  Google Scholar 

  7. Aicardi, I., Chiabrando, F., Lingua, A., Noardo, F.: Recent trends in cultural heritage 3D survey: the photogrammetric computer vision approach (2017)

    Google Scholar 

  8. De Paolis, L.T., De Luca, V., Gatto, C., D’Errico, G., Paladini, G.I.: Photogrammetric 3D reconstruction of small objects for a real-time fruition. In: De Paolis, L.T., Bourdot, P. (eds.) Augmented Reality, Virtual Reality, and Computer Graphics. LNCS, vol. 12242, pp. 375–394. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58465-8_28

    Chapter  Google Scholar 

  9. Lyra, V.G.M., et al.: Development of an efficient 3D reconstruction solution from permissive open-source code. In: Proceedings - 2020 22nd Symposium on Virtual and Augmented Reality, SVR 2020, pp. 232–241 (2020)

    Google Scholar 

  10. Aljabar, H., Cahyono, A.B., Hidayat, H.: Application of augmented reality and close range photogrammetry technology for mapping of cultural heritage areas (case study: Ai Renung Site, Sumbawa Regency). IOP Conf. Ser. Earth Environ. Sci. 389(1) (2019)

    Google Scholar 

  11. Templin, T., Popielarczyk, D.: The use of low-cost unmanned aerial vehicles in the process of building models for cultural tourism, 3D web and augmented/mixed reality applications. Sensors (Switzerland) 20(19), 1–26 (2020)

    Article  Google Scholar 

  12. Voinea, G.-D., Girbacia, F., Postelnicu, C.C., Marto, A.: Exploring cultural heritage using augmented reality through Google’s project tango and ARCore. In: Duguleană, M., Carrozzino, M., Gams, M., Tanea, I. (eds.) VR Technologies in Cultural Heritage. CCIS, vol. 904, pp. 93–106. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-05819-7_8

    Chapter  Google Scholar 

  13. Maiwald, F., Henze, F., Bruschke, J.N.F.: Geo-information technologies for a multimodal access on historical photographs and maps for research and communication in urban history. ISPRS Ann. Photogramm. Remote Sens. Spat. Inf. Sci. 42(2/W11), 763–769 (2019)

    Google Scholar 

  14. Hernández, J., Prieto, F.: Metodología de evaluación cuantitativa de modelos texturados. Dyna 74, 115–124 (2007)

    Google Scholar 

  15. Bucchi, A., Luengo, J., Fuentes, R., Arellano-Villalon, M., Lorenzo, C.: Recomendaciones para mejorar la calidad de las fotos en fotogrametría de corto alcance, ejemplificado en huesos de las manos de chimpancés y gorilas. Int. J. Morphol. 38(2), 348–355 (2020)

    Article  Google Scholar 

  16. Lauria, G., Sineo, L., Ficarra, S.: A detailed method for creating digital 3D models of human crania: an example of close-range photogrammetry based on the use of Structure-from-Motion (SfM) in virtual anthropology. Archaeol. Anthropol. Sci. 14(3) (2022). https://doi.org/10.1007/s12520-022-01502-9

  17. Novotny, A.C.: Implementing photogrammetry in three bioarchaeological contexts: steps for in-field documentation. Adv. Archaeol. Pract. 7(1), 87–96 (2019)

    Article  Google Scholar 

  18. Dzelzkalēja, L., Knets, J., Rozanovskis, N., Sīlītis, A.: Mobile apps for 3D face scanning. In: Intelligent Systems Conference, IntelliSys 2021, vol. 295, pp. 34–50 (2022)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Carpio A. Pineda-Manosalvas .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Pineda-Manosalvas, C.A., Salazar-Fierro, F.A., Cervantes-Rodríguez, N.N., DelaCruz-M, A.T. (2022). Comparison of Free Android Mobile 3D Modeling Tools for AR Apps. In: Valencia-García, R., Bucaram-Leverone, M., Del Cioppo-Morstadt, J., Vera-Lucio, N., Jácome-Murillo, E. (eds) Technologies and Innovation. CITI 2022. Communications in Computer and Information Science, vol 1658. Springer, Cham. https://doi.org/10.1007/978-3-031-19961-5_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-19961-5_18

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-19960-8

  • Online ISBN: 978-3-031-19961-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics