A Fusion Model For Enhancement of Range Images
Independent thesis Advanced level (degree of Master (Two Years))Student thesisAlternative title
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. , 39 p.
2 Dimension (2D), 3 Dimension (3D), Markov Random Field, Depth Map, Energy Function, Threshold, Graph-Cut, Super-Pixel, Principal Component Analysis (PCA)
Probability Theory and Statistics
IdentifiersURN: urn:nbn:se:bth-2203Local ID: oai:bth.se:arkivex027A8EE980472E96C12579EB001B2996OAI: oai:DiVA.org:bth-2203DiVA: diva2:829470
UppsokPhysics, Chemistry, Mathematics
Room 401, No.56, Lane 21, Yin Gao Road, Shanghai, China2015-04-222012-04-252015-06-30Bibliographically approved