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Titel:

Image Completion for View Synthesis Using Markov Random Fields and Efficient Belief Propagation

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Habigt, Julian; Diepold, Klaus
Seitenangaben Beitrag:
2131--2134
Abstract:
View synthesis is a process for generating novel views from a scene which has been recorded with a 3-D camera setup. It has important applications in 3-D post-production and 2-D to 3-D conversion. However, a central problem in the generation of novel views lies in the handling of disocclusions. Background content, which was occluded in the original view, may become unveiled in the synthesized view. This leads to missing information in the generated view which has to be filled in a visually plaus...     »
Stichworte:
DIBR; View Synthesis; Inpainting; Hole Filling; MRF
Dewey-Dezimalklassifikation:
620 Ingenieurwissenschaften
Kongress- / Buchtitel:
IEEE International Conference on Image Processing (ICIP 2013)
Jahr:
2013
Monat:
Sep
Reviewed:
ja
Sprache:
en
Volltext / DOI:
doi:10.1109/ICIP.2013.6738439
WWW:
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6738439
TUM Einrichtung:
Lehrstuhl für Datenverarbeitung
Copyright Informationen:
© 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
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