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Conference Papers Year : 2000

Edge-Constrained Joint View Triangulation for Image Interpolation

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Abstract

Image-based-interpolation creates smooth and photorealistic 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.
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inria-00590139 , version 1 (03-05-2011)

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Maxime Lhuillier, Long Quan. Edge-Constrained Joint View Triangulation for Image Interpolation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR '00), Jun 2000, Hilton Head Island, United States. pp.218--224, ⟨10.1109/CVPR.2000.854792⟩. ⟨inria-00590139⟩
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