Comparison of State of the Art Visual Odometry Systems

Title:	A Comparison of State of the Art Visual Odometry Systems (Monocular and Stereo)	Image:VisualOdometry.jpg
Description:	Visual odometry is the estimation of camera(s) movement from a sequence of images. In case we deal with a single camera system we have Monocular Visual Odometry; in case we have more cameras we have a Stero Visual Odometry. The goal of the thesis is to review the state of the art on in visual odometry, classify existing approaches and compare their implementations (many of the algorithms have online source code available). Material a huge corpus of literature on the topic libraries on visual odometry (http://www.cvlibs.net/datasets/kitti/index.php) C++ library for image processing and computer vision (OpenCV) Expected outcome: a set of running algorithms performing visual odometry Required skills or skills to be acquired: computer vision and 3D reconstruction C++ programming under Linux
Tutor:	MatteoMatteucci (matteo.matteucci@polimi.it), SimoneCeriani (ceriani@elet.polimi.it), DavideCucci (cucci@elet.polimi.it)
Start:	2012/04/01
Students:	1 - 2
CFU:	10 - 20
Research Area:	Computer Vision and Image Analysis
Research Topic:	none
Level:	Bs, Ms
Type:	Thesis
Status:	Active