Visual Odometry for an Omni-directional Camera - Revision history

AndreaBonarini at 15:33, 31 December 2014

2014-12-31T15:33:06Z

MatteoMatteucci at 23:44, 21 December 2014

2014-12-21T23:44:02Z

MatteoMatteucci at 14:40, 16 April 2012

2012-04-16T14:40:21Z

MatteoMatteucci at 14:39, 16 April 2012

2012-04-16T14:39:43Z

MatteoMatteucci: Created page with "{{ProjectProposal |title=Visual Odometry for an Omni-directional Camera |image= |description=An omnidirectional camera can acquire panoramic views of the surrounding environme..."

2012-04-16T14:32:30Z

Created page with "{{ProjectProposal |title=Visual Odometry for an Omni-directional Camera |image= |description=An omnidirectional camera can acquire panoramic views of the surrounding environme..."

New page

{{ProjectProposal
|title=Visual Odometry for an Omni-directional Camera
|image=
|description=An omnidirectional camera can acquire panoramic views of the surrounding environment. The purpose of this thesis is to design, develop, and test an odometric system (odometry = measurement of the path) based on the images taken by an omnidirectional camera during motion. The reference paper to start from is (Taddei, Ferran, Caglioti. IJCV 2012) and the result should be able to extract “feature points” from the images, match them in a robust way, and then apply the machinery for visual odometry on the resulting set of correspondences. A calibration procedure for the system should be provided together with an experimental validatio of the resulting system.

*Pierluigi Taddei, Ferran Espuny, Vincenzo Caglioti: Planar Motion Estimation and Linear Ground Plane Rectification using an Uncalibrated Generic Camera. International Journal of Computer Vision 96(2): 162-174 (2012)

'''Material:'''
*reference paper to start from and reference datasets
*C++ library for extraction and manipulation of features (OpenCV)

'''Expected outcome:'''
*working system able to perform visual odometry using an omnidirectional camera

'''Required skills or skills to be acquired:'''
*computer vision and 3D reconstruction
|tutor=VincenzoCaglioti;MatteoMatteucci
|start=2012/04/01
|studmin=1
|studmax=2
|cfumin=10
|cfumax=20
|resarea=Computer Vision and Image Analysis
|restopic=none
|level=Bs;Ms
|type=Thesis
|status=Active
}}

@@ Line 25: / Line 25: @@
 |level=Bs;Ms
 |type=Thesis
-|status=Active
+|status=Closed
 }}

@@ Line 15: / Line 15: @@
 '''Required skills or skills to be acquired:'''
 *computer vision and 3D reconstruction
-|tutor=VincenzoCaglioti;MatteoMatteucci
+|tutor=VincenzoCaglioti
 |start=2012/04/01
 |studmin=1

@@ Line 1: / Line 1: @@
 {{ProjectProposal
 |title=Visual Odometry for an Omni-directional Camera
-|image=OmnidirectionalOdometry.jpg
+|image=OmnidirectionalOdometry.png
 |description=An omnidirectional camera can acquire panoramic views of the surrounding environment. The purpose of this thesis is to design, develop, and test an odometric system (odometry = measurement of the path) based on the images taken by an omnidirectional camera during motion. The reference paper to start from is (Taddei, Ferran, Caglioti. IJCV 2012) and the result should be able to extract “feature points” from the images, match them in a robust way, and then apply the machinery for visual odometry on the resulting set of correspondences. A calibration procedure for the system should be provided together with an experimental validatio of the resulting system.