How does the occlusion model work?
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The occlusion model works by approximating the scene surface as a set of concave and convex parabolas . The first step is to determine the occlusion function, which is then used to perform plenoptic spectral analysis . This analysis reveals the occlusion characteristics of the scene . The occlusion characteristics are then used to determine the minimal sampling rate and apply a new reconstruction filter to achieve high-quality view synthesis . This model extends previous works by considering the reconstruction filter and significantly addresses the occlusion problem while improving the rendering quality of the light field .
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| Papers (3) | Insight |
|---|---|
| The paper proposes an occlusion-aware model-based gait recognition method that fits a skinned multi-person linear (SMPL)-based human mesh model to non-occluded body parts in gait videos, and uses pose and shape features for recognition. | |
| The occlusion model approximates the scene surface as a set of concave and convex parabolas. It determines the occlusion function and performs plenoptic spectral analysis to reveal occlusion characteristics. This information is used to determine the minimal sampling rate and apply a new reconstruction filter for high-quality view synthesis. | |
01 Sep 2017 4 Citations | The paper presents a signal-processing framework that combines discontinuities and establishes a mathematical model of occlusion phenomenon. The influences of occlusion on a scene are derived using Fourier theory, and predictions on the frequency content are used to control sampling and rendering in a scene. |
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