Awesome
Acknowledgements:
This repository contains code from https://github.com/tum-vision/lsd_slam which we are modifying for a term project. Many thanks go out to the TUM Vision Group. The methodogy for this method, LSD-SLAM, can be found in the following paper:
LSD-SLAM: Large-Scale Direct Monocular SLAM, J. Engel, T. Schöps, D. Cremers, ECCV '14
Pre-requisites: xcode 8.0, opencv, boost, sophus, Eigen
Please make sure xcode >= 8.0 is install in your computer.
Please follow the link below to install opencv ios: http://docs.opencv.org/2.4/doc/tutorials/introduction/ios_install/ios_install.html
boost, sophus and Eigen are included in this repository.
Title:
Direct Visual Odometry on Mobile Device. Please see the demo: https://www.youtube.com/watch?v=gOveXpLiBqw.
Function:
The code has been test with iPad 2 and iPhone5.
It could be running realtime 30fpsin iPad 2
and 15fps in iPhone5, which is released in 2012.
Please see the link below for detailed descriptions for each device:
Team:
Guanhang Wu & Jennifer Lake
Description:
We won the second best project in Advanced Computer Vision Apps class at CMU. Please see our post: Mobile_LSD_Poster.pdf and paper: Mobile_LSD_Report.pdf for implmentation and performance details.