Pix4D

Pix4D

Pix4D is a Swiss software company that specializes in photogrammetry. It was founded in 2011 as a spinoff from the École Polytechnique Fédérale de Lausanne (EPFL) Computer Vision Lab in Switzerland.[1] It develops a suite of software products that use photogrammetry[2][3] and computer vision algorithms to transform DSLR, fisheye, RGB, thermal and multispectral images into 3D maps and 3D modeling.[4][5] The company has 7[6] international offices, with its headquarters in Lausanne, Switzerland.

Quick Facts Developer(s), Initial release ...

Pix4D suite of products includes PIX4Dmapper, PIX4Dfields, PIX4Dcloud, PIX4Dinspect, PIX4Dscan, PIX4Dreact, PIX4Dsurvey, PIX4Dcatch, Pix4Dmatic, PIX4Dcapture, and PIX4Dengine. In April 2021 Pix4D added the viDoc RTK rover, a handheld hardware device, to its portfolio.[7]

Its software lines operate on desktop, cloud, and mobile platforms.[8] PIX4Dmapper has been used to map the Matterhorn mountain in Switzerland,[9] the Christ the Redeemer statue in Brazil[10] and also the 2018 lower Puna eruption[11] in Hawaii island. Pix4D software uses imagery captured with drones, mobile devices, or planes to recreate scenes in 3D.

10 year anniversary & rebranding

In June 2021, Pix4D celebrated its 10-year anniversary. To commemorate the event, Pix4D updated its logo and website styling.[12] The rebranding involved new styles for the logo font and color scheme, as well as updated style formats for product names and color schemes.

Pix4D User Conference

Pix4D launched its first User Conference in 2019.[13] The event was held in October 2019 in Denver, Colorado. It was attended by over 250 people and hosted at the McNichols Civic Center Building. Pix4D announced two new products at the event: PIX4Dreact and PIX4Dsurvey. Apart from keynote speeches by Pix4D staff members, there were also guest presentations by visitors.

As a result of the Covid-19 pandemic, no event took place in 2020. In 2021, Pix4D launched a User Conference called "From the Ground Up". The conference was live for 24 hours and included 40 sessions broadcast in 4 languages - English, Japanese, Spanish, and Portuguese. The event consisted of Pix4D product presentations, user keynote talks to demonstrate how people were using Pix4D software, and a Speed Quiz with the Pix4D Training Team.

In 2022, Pix4D hosted 2 User Conference events - 1 in Tokyo[14] and 1 in Denver, Colorado.[15] The structure was similar to the 2019 event.

Languages

Pix4D's website is available in multiple languages: English, French, German, Spanish, Chinese, Japanese, and Portuguese.

The desktop versions of Pix4D software are available in: English, Spanish, Mandarin (zh-CH, zh-TW), Russian, German, French, Japanese, Italian and Korean.
The Cloud versions are available in: English, Japanese, French, German, Italian, Simplified Chinese, Portuguese, and Thai.
The mobile versions of Pix4D software are available in English.

Industries

The major industries that Pix4D software is used, are:


References

  1. Mitchell, Michael."EPFL Spinoff Turns Thousands of 2D Photos into 3D Images", EPFL, Lausanne, 9 May 2011. Retrieved on 17 January 2017.
  2. Britanica, "What is photogrammetry". 2019.
  3. J. Vallet a / F. Panissod a / C. Strecha b / M. Tracol c (Sep 16, 2011). "Photogrammetric performance of an ultra light weight swinglet "UAV"" (PDF). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 3822: 253–258. Bibcode:2011ISPAr3822C.253V. doi:10.5194/isprsarchives-XXXVIII-1-C22-253-2011.
  4. Trout, Christopher. “Pix4D Turns Your 2D Aerial Photographs into 3D Maps on the Fly”, “Engadget”, 7 May 2011. Retrieved 24 October 2016.
  5. Rumpler, M.; Daftry, S.; Tscharf, A.; Prettenthaler, R.; Hoppe, C.; Mayer, G.; Bischof, H. (2014). "Automated End-to-End Workflow for Precise and Geo-accurate Reconstructions using Fiducial Markers". ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. II3: 135–142. Bibcode:2014ISPAn.II3..135R. doi:10.5194/isprsannals-II-3-135-2014.
  6. "Mobile + Desktop + Cloud", "Pix4D". Retrieved 18 January 2017.
  7. Simonite, Tom. “High-Resolution 3-D Scans Built from Drone Photos”, MIT Technology Review, 19 March 2015. Retrieved on 18 January 2017.
  8. Pascal Sirguey, Julien Boeuf, Ryan Cambridge, Steven Mills (Aug 18, 2016). Evidences of Sub-Optimal Photogrammetric Modelling In RPAS-based Aerial Surveys (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  9. F. Bachmann, R. Herbst, R. Gebbers, V.V. Hafner (Sep 2, 2013). Micro UAV based georeferenced orthophoto generation in VIS+NIR for precision agriculture (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  10. Shahab Moeini, Azzeddine Oudjehane, Tareq Baker, Wade Hawkins (Aug 8, 2017). Application of an interrelated UAS - BIM system for construction progress monitoring, inspection and project management1 (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  11. Raid Al-Tahir (Sep 2, 2015). Integrating UAV into geomatics curriculum (PDF).
  12. Christoph Strecha, Olivier Küng, Pascal Fua (Feb 10, 2012). Automatic mapping from ultra-light uav imagery (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  13. Jakub Markiewicz, Dorota Zawieska MDPI Markiewicz, Jakub; Zawieska, Dorota (Feb 1, 2019). "The influence of the cartographic transformation of TLS data on the quality of the automatic registration". Applied Sciences. 9 (3): 509. doi:10.3390/app9030509.
  14. Hyung Taeck Yoo, Hyunwoo Lee, Seokho Chi, Bon-Gang Hwang, Jinwoo Kim (Mar 3, 2016). "A Preliminary Study on Disaster Waste Detection and Volume Estimation based on 3D Spatial Information". Computing in Civil Engineering 2017. pp. 428–435. doi:10.1061/9780784480823.051. ISBN 9780784480823.{{cite book}}: CS1 maint: multiple names: authors list (link)
  15. Bernhard Draeyer / Christoph Strecha (Feb 2014). How accurate are UAV surveying methods?. S2CID 3110690.
  16. Major Kijun. Lee (Mar 22, 2018). Military application of aerial photogrammetry mapping assisted by small unmanned air vehicles (PDF). Archived (PDF) from the original on July 1, 2019.
  17. Anne Rautio, Kirsti Korkka-Niemi, Veli-Pekka Salonen (Jun 30, 2017). Thermal infrared remote sensing in assessing ground / surface water resources related to the Hannukainen mining development site, Northern Finland (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  18. Jae Kang Lee, Min Jun Kim, Jung Ok Kim, Jin Soo Kim, Tri Dev Acharya, Dong Ha Lee MDPI Lee, Jae Kang; Kim, Min Jun; Kim, Jung Ok; Kim, Jin Soo; Acharya, Tri Dev; Lee, Dong Ha (Nov 15, 2018). "Crack Detection Assisted by an Unmanned Aerial Vehicle for Wonjudaegyo Bridge in Korea". Proceedings. 4: 23. doi:10.3390/ecsa-5-05835.
  19. Daniel Heina, Steven Bayera, Ralf Bergera, Thomas Krafta, Daniela Lesmeisterb (Jun 9, 2017). "An integrated rapid mapping system for disaster management" (PDF). The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 42W1: 499–504. Bibcode:2017ISPAr42W1..499H. doi:10.5194/isprs-archives-XLII-1-W1-499-2017.{{cite journal}}: CS1 maint: multiple names: authors list (link)
  20. H.A. Follas, D.L Stewart, J. Lester (Apr 3, 2016). Effective post-disaster reconnaissance using unmanned aerial vehicles for emergency response, recovery and research (PDF).{{cite book}}: CS1 maint: multiple names: authors list (link)
  21. Jingxuan Sun, Boyang, Yifan Jiang, Chih-yung Wen MDPI Sun, Jingxuan; Li, Boyang; Jiang, Yifan; Wen, Chih-Yung (Oct 25, 2016). "A Camera-Based Target Detection and Positioning UAV System for Search and Rescue (SAR) Purposes". Sensors. 16 (11): 1778. Bibcode:2016Senso..16.1778S. doi:10.3390/s16111778. PMC 5134437. PMID 27792156.
  22. Dustin W. Gabbert, Mehran Andalibi, Jamey D. Jacob (Sep 7, 2015). System Development for Wildfire SUAS.{{cite book}}: CS1 maint: multiple names: authors list (link)
  23. Lim, Ye Seul; La, Phu Hien; Park, Jong Soo; Lee, Mi Hee; Pyeon, Mu Wook; Kim, Jee-In (2015). "Calculation of Tree Height and Canopy Crown from Drone Images Using Segmentation". Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography. 33 (6): 605–614. doi:10.7848/ksgpc.2015.33.6.605. S2CID 130779355.
  24. E. Prado, F. Sánchez, A. Rodríguez-Basalo, A. Altuna, A. Cobo, ResearchGate Prado, E.; Sánchez, F.; Rodríguez-Basalo, A.; Altuna, A.; Cobo, A. (April 1, 2019). "Semi-automatic method of fan surface assessment to achieve Gorgonian population structure in le Danois bank, Cantabrian sea". The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 4210: 167–173. Bibcode:2019ISPAr4210..167P. doi:10.5194/isprs-archives-XLII-2-W10-167-2019. hdl:10902/16330.
  25. Fister, W., Goldman, N., Mayer, M., Suter, M., and Kuhn, N. J, Geographica Helvetica Fister, Wolfgang; Goldman, Nina; Mayer, Marius; Suter, Manuel; Kuhn, Nikolaus J. (Mar 15, 2019). "Testing of photogrammetry for differentiation of soil organic carbon and biochar in sandy substrates". Geographica Helvetica. 74 (1): 81–91. doi:10.5194/gh-74-81-2019.
  26. Zawieska, D.; Markiewicz, J.; Turek, A.; Bakuła, K.; Kowalczyk, M.; Kurczyński, Z.; Ostrowski, W.; Podlasiak, P. (2016). "Multi-Criteria Gis Analyses with the Use of Uavs for the Needs of Spatial Planning". The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. 41B1: 1165–1171. Bibcode:2016ISPAr41B1.1165Z. doi:10.5194/isprs-archives-XLI-B1-1165-2016.
  27. R. J. Stone (2015). Keynote paper: Virtual & Augmented reality technologies for applications in cultural heritage: A human factors perspective. S2CID 16678832.

Further reading


Share this article:

This article uses material from the Wikipedia article Pix4D, and is written by contributors. Text is available under a CC BY-SA 4.0 International License; additional terms may apply. Images, videos and audio are available under their respective licenses.