title: On Creating Reference Data for Performance Analysis in Image Processing
creator: Meister, Stephan Nicolas Robert
subject: 500
subject: 500 Natural sciences and mathematics
description: This thesis investigates methods for the creation of reference datasets for image processing,  especially for the dense correspondence problem.  Three types of reference data can be identified: Real datasets with dense ground truth,  real datasets with sparse or missing ground truth and synthetic datasets.  For the creation of real datasets with ground truth a existing method based on depth  map fusion was evaluated. The described method is especially suited for creating large  amounts of reference data with known accuracy.  The creation of reference datasets with missing ground truth was examined on the  example of multiple datasets for the automotive industry. The data was used succesfully  for verification and evaluation by multiple image processing projects.  Finally, it was investigated how methods from computer graphics can be used for  creating synthetic reference datasets. Especially the creation of photorealistic image  sequences using global illumination has been examined for the task of evaluating  algorithms. The results show that while such sequences can be used for evaluation,  their creation is hindered by practicallity problems. As an application example, a new  simulation method for Time-of-Flight depth cameras which can simulate all relevant  error sources of these systems was developed.
date: 2014
type: Dissertation
type: info:eu-repo/semantics/doctoralThesis
type: NonPeerReviewed
format: application/pdf
identifier: https://archiv.ub.uni-heidelberg.de/volltextserverhttps://archiv.ub.uni-heidelberg.de/volltextserver/16193/1/On%20Creating%20Reference%20Data%20for%20Performance%20Analysis%20in%20Image%20Processing.pdf
identifier: DOI:10.11588/heidok.00016193
identifier: urn:nbn:de:bsz:16-heidok-161931
identifier:   Meister, Stephan Nicolas Robert  (2014) On Creating Reference Data for Performance Analysis in Image Processing.  [Dissertation]     
relation: https://archiv.ub.uni-heidelberg.de/volltextserver/16193/
rights: info:eu-repo/semantics/openAccess
rights: Please see front page of the work (Sorry, Dublin Core plugin does not recognise license id)
language: eng