Edge-Constrained Joint View Triangulation for Image Interpolation

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.

• Type: Conference
• Year: 2000
• Where: CVPR
• Authors: Maxime Lhuillier, Long Quan
• Keywords: Artificial Rectilinear Objects, Computer Vision, CVPR 2000, Edge-constrained Joint View, Efficient Multi-view Representation, Joint View Triangulation, Triangulation Constraints