A Fusion Model For Enhancement of Range Images
2012 (English)Independent thesis Advanced level (degree of Master (Two Years))
Student thesisAlternative title
English (Swedish)
Abstract [en]
In this thesis, we would like to present a new way to enhance the “depth map” image which is called as the fusion of depth images. The goal of our thesis is to try to enhance the “depth images” through a fusion of different classification methods. For that, we will use three similar but different methodologies, the Graph-Cut, Super-Pixel and Principal Component Analysis algorithms to solve the enhancement and output of our result. After that, we will compare the effect of the enhancement of our result with the original depth images. This result indicates the effectiveness of our methodology.
Place, publisher, year, edition, pages
2012. , p. 39
Keywords [en]
2 Dimension (2D), 3 Dimension (3D), Markov Random Field, Depth Map, Energy Function, Threshold, Graph-Cut, Super-Pixel, Principal Component Analysis (PCA)
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:bth-2203Local ID: oai:bth.se:arkivex027A8EE980472E96C12579EB001B2996OAI: oai:DiVA.org:bth-2203DiVA, id: diva2:829470
Uppsok
Physics, Chemistry, Mathematics
Supervisors
Note
Room 401, No.56, Lane 21, Yin Gao Road, Shanghai, China
2015-04-222012-04-252015-06-30Bibliographically approved