Edge-constrained joint view triangulation for image interpolation

Author

Lhuillier, Maxime ; Quan, Long

Author_Institution

CNRS, Montbonnot, France

Volume

2

fYear

2000

fDate

2000

Firstpage

218

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

Keywords

image reconstruction; interpolation; rendering (computer graphics); edge-constrained; edge-constrained joint view triangulation; image interpolation; joint view triangulation; photo-realistic views; rectilinear objects; super-sampling; triangulation constraints; Art; Character generation; Computational efficiency; Electrical capacitance tomography; Image reconstruction; Image sampling; Interpolation; Layout; Rendering (computer graphics); Tensile stress;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on

Conference_Location

Hilton Head Island, SC

ISSN

1063-6919

Print_ISBN

0-7695-0662-3

Type

conf

DOI

10.1109/CVPR.2000.854792

Filename

854792