3D mapping with iPhone
Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesisAlternative title
3D-kartering med iPhone (Swedish)
Today, 3D models of cities are created from aerial images using a camera rig. Images, together with sensor data from the flights, are stored for further processing when building 3D models. However, there is a market demand for a more mobile solution of satisfactory quality. If the camera position can be calculated for each image, there is an existing algorithm available for the creation of 3D models.
This master thesis project aims to investigate whether the iPhone 4 offers good enough image and sensor data quality from which 3D models can be created. Calculations on movements and rotations from sensor data forms the foundation of the image processing, and should refine the camera position estimations.
The 3D models are built only from image processing since sensor data cannot be used due to poor data accuracy. Because of that, the scaling of the 3D models are unknown and a measurement is needed on the real objects to make scaling possible. Compared to a test algorithm that calculates 3D models from only images, already available at the SBD’s system, the quality of the 3D model in this master thesis project is almost the same or, in some respects, even better when compared with the human eye.
Place, publisher, year, edition, pages
2011. , 77 p.
iPhone 4, 3D reconstruction, feature detection, tracking, position estimation, rolling shutter, RANSAC, bundle adjustment, dynamic model
IdentifiersURN: urn:nbn:se:liu:diva-71689ISRN: LiTH-ISY-EX--11/4517--SEOAI: oai:DiVA.org:liu-71689DiVA: diva2:452945
Subject / course
Computer Vision Laboratory