Active Image-based Modeling with a Toy Drone


== Abstract ==

Image-based modeling techniques can now generate photo-realistic 3D models from images. But it is up to users to provide high quality images with good coverage and view overlap, which makes the data capturing process tedious and time consuming. We seek to automate data capturing for image-based modeling. The core of our system is an iterative linear method to solve the multi-view stereo (MVS) problem quickly and plan the Next-Best-View (NBV) effectively. Our fast MVS algorithm enables online model reconstruction and quality assessment to determine the NBVs on the fly. We test our system with a toy unmanned aerial vehicle (UAV) in simulated, indoor and outdoor experiments. Results show that our system improves the efficiency of data acquisition and ensures the completeness of the final model.

Comment: To be published on International Conference on Robotics and Automation 2018, Brisbane, Australia. Project Page: https://huangrui815.github.io/active-image-based-modeling/ The author's personal page: http://www.sfu.ca/~rha55


== Original document ==

The different versions of the original document can be found in:

* [http://arxiv.org/abs/1705.01010 http://arxiv.org/abs/1705.01010]

* [http://arxiv.org/pdf/1705.01010 http://arxiv.org/pdf/1705.01010]

* [http://xplorestaging.ieee.org/ielx7/8449910/8460178/08460673.pdf?arnumber=8460673 http://xplorestaging.ieee.org/ielx7/8449910/8460178/08460673.pdf?arnumber=8460673],
: [http://dx.doi.org/10.1109/icra.2018.8460673 http://dx.doi.org/10.1109/icra.2018.8460673]

* [https://dblp.uni-trier.de/db/conf/icra/icra2018.html#HuangZVT18 https://dblp.uni-trier.de/db/conf/icra/icra2018.html#HuangZVT18],
: [http://ui.adsabs.harvard.edu/abs/2017arXiv170501010H/abstract http://ui.adsabs.harvard.edu/abs/2017arXiv170501010H/abstract],
: [https://academic.microsoft.com/#/detail/2963052560 https://academic.microsoft.com/#/detail/2963052560]