Edge-constrained joint view triangulation for image interpolation

Maxime Lhuillier, Long Quan

Research output: Contribution to journalConference article published in journalpeer-review

14 Citations (Scopus)

Abstract

Image-based-interpolation creates smooth and photo-realistic views between two view points. The concept of joint view triangulation (JVT) has been proven to be an efficient multi-view representation to handle visibility issue. However, the existing JVT, built only on a regular sampling grid, often produces undesirable artifacts for artificial objects. To tackle these problems, a new edge-constrained joint view triangulation is developed in this paper to integrate contour points and artificial rectilinear objects as triangulation constraints. Also a super-sampling technique is introduced to refine visible boundaries. The new algorithm is successfully demonstrated on many real image pairs.

Original languageEnglish
Pages (from-to)218-224
Number of pages7
JournalProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
Volume2
DOIs
Publication statusPublished - 2000
Externally publishedYes
EventIEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 - Hilton Head Island, SC, USA
Duration: 13 Jun 200015 Jun 2000

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