Camera Tracking Using A Dense 3D Model
(2012) In Master's Theses in Mathematical Sciences FMA820 20122Mathematics (Faculty of Engineering)
- Abstract
- Abstract
In this thesis we present a method for tracking a depth sensor and building a 3D model in real-time. The tracking will be done using the current estimated 3D model. We will show that this approach gives more accurate results and is more robust than the well-known KinectFusion approach. It will also be shown how to colourise the 3D model in real-time.
In this work we will study different error metrics such as the projective point-to-point metric and projective point-to-plane metric. Also different norms will be evaluated to find out which gives the best result. We will also show how to represent a 3D model by using a so called signed distance function.
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/3217780
- author
- Bylow, Erik LU
- supervisor
-
- Fredrik Kahl LU
- organization
- course
- FMA820 20122
- year
- 2012
- type
- H2 - Master's Degree (Two Years)
- subject
- publication/series
- Master's Theses in Mathematical Sciences
- report number
- LUTFMA-3235-2012
- ISSN
- 1404-6342
- other publication id
- 2012:E41
- language
- English
- id
- 3217780
- date added to LUP
- 2014-07-04 17:36:35
- date last changed
- 2014-07-04 17:36:35
@misc{3217780, abstract = {{Abstract In this thesis we present a method for tracking a depth sensor and building a 3D model in real-time. The tracking will be done using the current estimated 3D model. We will show that this approach gives more accurate results and is more robust than the well-known KinectFusion approach. It will also be shown how to colourise the 3D model in real-time. In this work we will study different error metrics such as the projective point-to-point metric and projective point-to-plane metric. Also different norms will be evaluated to find out which gives the best result. We will also show how to represent a 3D model by using a so called signed distance function.}}, author = {{Bylow, Erik}}, issn = {{1404-6342}}, language = {{eng}}, note = {{Student Paper}}, series = {{Master's Theses in Mathematical Sciences}}, title = {{Camera Tracking Using A Dense 3D Model}}, year = {{2012}}, }