Paper
5 March 2007 Spline-based intermediate view reconstruction
Author Affiliations +
Proceedings Volume 6490, Stereoscopic Displays and Virtual Reality Systems XIV; 64900F (2007) https://doi.org/10.1117/12.699372
Event: Electronic Imaging 2007, 2007, San Jose, CA, United States
Abstract
Intermediate view reconstruction is an essential step in content preparation for multiview 3D displays and freeviewpoint video. Although many approaches to view reconstruction have been proposed to date, most of them share the need to model and estimate scene depth first, and follow with the estimation of unknown-view texture using this depth and other views. The approach we present in this paper follows this path as well. First, assuming a reliable disparity (depth) map is known between two views, we present a spline-based approach to unknownview texture estimation, and compare its performance with standard disparity-compensated interpolation. A distinguishing feature of the spline-based reconstruction is that all virtual views between the two known views can be reconstructed from a single disparity field, unlike in disparity-compensated interpolation. In the second part of the paper, we concentrate on the recovery of reliable disparities especially at object boundaries. We outline an occlusion-aware disparity estimation method that we recently proposed; it jointly computes disparities in visible areas, inpaints disparities in occluded areas and implicitly detects occlusion areas. We then show how to combine occlusion-aware disparity estimation with spline-based view reconstruction presented earlier, and we experimentally demonstrate its benefits compared to occlusion-unaware disparity-compensated interpolation.
© (2007) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Serdar Ince, Janusz Konrad, and Carlos Vázquez "Spline-based intermediate view reconstruction", Proc. SPIE 6490, Stereoscopic Displays and Virtual Reality Systems XIV, 64900F (5 March 2007); https://doi.org/10.1117/12.699372
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Cited by 2 scholarly publications.
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KEYWORDS
Reconstruction algorithms

Lawrencium

Cameras

Error analysis

Optical flow

3D modeling

Anisotropic diffusion

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