4.3.31 / Oct 16, 2018
|Operating system||Windows, Linux, MacOs|
|Available in||EN, ES, FR, DE, IT, JP, KO, zh-CN, zh-TW, RU|
|Type||3D computer graphics software, photogrammetry, computer vision|
Pix4D is a Swiss company that develops a suite of software products that use photogrammetry and computer vision algorithms to transform both RGB and multispectral images into 3D maps and models. This software is developed and supplied by the company Pix4D SA, which started in 2011 as a spinoff of the École Polytechnique Fédérale de Lausanne (EPFL) Computer Vision Lab in Switzerland.
Pix4D suite of products include Pix4Dmapper, Pix4Dfields, Pix4Dbim, Pix4Dmodel and Pix4Dcapture.
Its software solution lines operate on desktop, cloud, and mobile platforms. Pix4Dmapper has been used to map both the Matterhorn mountain in Switzerland and the Christ the Redeemer statue in Brazil.
- Trout, Christopher. “Pix4D Turns Your 2D Aerial Photographs into 3D Maps on the Fly”, “Engadget”, 7 May 2011. Retrieved 24 October 2016.
- Rumpler, Markus; Daftry, Shreyansh; Tscharf, Alexander; Prettenthaler, Rudolf; Hoppe, Christof; Mayer, Gerhard; Bischof, Horst."AUTOMATED END-TO-END WORKFLOW FOR PRECISE AND GEO-ACCURATE RECONSTRUCTIONS USING FIDUCIAL MARKERS", International Society for Photogrammetry and Remote Sensing, Zurich, 7 September 2014. Retrieved on 17 January 2017.
- Mitchell, Michael."EPFL Spinoff Turns Thousands of 2D Photos into 3D Images", EPFL, Lausanne, 9 May 2011. Retrieved on 17 January 2017.
- "Mobile + Desktop + Cloud", "Pix4D". Retrieved 18 January 2017.
- Hodson, Hal. “Matterhorn mapped by fleet of drones in just 6 hours”, New Scientist, 17 October 2013. Retrieved on 17 January 2017.
- Simonite, Tom. “High-Resolution 3-D Scans Built from Drone Photos”, MIT Technology Review, 19 March 2015. Retrieved on 18 January 2017.
- Jonathan L. Carrivick, Mark W. Smith, Duncan J. Quincey (2016) Structure from Motion in the Geosciences, Wiley. p. 81
- Alfonso Ippolito (2016), Handbook of Research on Emerging Technologies for Architectural and Archaeological Heritage, IGI Global.
- Eric Cheng (2015), Aerial Photography and Videography Using Drones, Peachpit Press.
- Antonio M. López, Atsushi Imiya, Tomas Pajdla, Jose M. Álvarez (2017), Computer Vision in Vehicle Technology: Land, Sea, and Air, John Wiley & Sons.
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