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 language | English |
|---|---|
| Pages (from-to) | 218-224 |
| Number of pages | 7 |
| Journal | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
| Volume | 2 |
| DOIs | |
| Publication status | Published - 2000 |
| Externally published | Yes |
| Event | IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2000 - Hilton Head Island, SC, USA Duration: 13 Jun 2000 → 15 Jun 2000 |
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