Temporal Domain Hole Filling Using Switchable Gaussian Background Modeling
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Solution Overview
Problem
Current view synthesis techniques, such as 3D warping, struggle to project pixels into disoccluded regions, leading to holes in synthesized views, and existing hole-filling methods like spatial and temporal domain filling face challenges with complex textures and non-real-time processing, especially with slanted surfaces and non-quasi-static backgrounds.
Innovation Solution
A depth-based hole filling process using a background modeling technique with a Switchable Gaussian Model (SGM) that processes input texture and depth information to create a background video, updating pixel-wise distributions and employing a potential-background buffer for efficient hole filling in the temporal domain.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If spatial domain filling methods are used to fill disoccluded regions, then the filling process is simple and fast, but the filling results become over-smoothed when there are complex textures in the background
Solution Approach 1:
The patent transitions from spatial domain filling to temporal domain filling by utilizing background models constructed from historical video frames. Instead of filling holes based on spatial correlations within the current frame, the method projects background information from the temporal dimension, thereby resolving the contradiction between processing speed and filling accuracy for complex textures.
Solution Approach 2:
The patent performs preliminary background modeling by constructing background models from historical frames before the actual hole filling process. This preliminary action of pre-processing background information allows the system to quickly fill holes using the pre-established background model, maintaining both speed and accuracy.
2Manufacturing precision
If temporal domain filling methods are used to reveal ground-truth texture patterns, then filling accuracy improves, but processing time increases and real-time processing becomes difficult
Solution Approach 1:
The patent performs preliminary background modeling by constructing background models from historical frames before the actual hole filling process. This preliminary action of pre-processing background information allows the system to quickly fill holes using the pre-established background model, maintaining both speed and accuracy.
Solution Approach 2:
The patent implements dynamic background modeling that adapts to scene changes. The background model is updated over time to reflect current scene conditions, allowing the system to maintain high filling accuracy while adapting to dynamic environments, thus reducing processing time for real-time applications.
3Device complexity
If running average background model is used for temporal domain filling, then processing is simplified, but the method fails to work with slanted surfaces or non quasi-static background scenes
Solution Approach 1:
The patent implements dynamic background modeling that adapts to scene changes. The background model is updated over time to reflect current scene conditions, allowing the system to maintain high filling accuracy while adapting to dynamic environments, thus reducing processing time for real-time applications.
Solution Approach 2:
The patent modifies background modeling parameters dynamically based on scene characteristics. By adjusting parameters such as background model update frequency and threshold values, the system can adapt to different scene types including slanted surfaces and non-quasi-static backgrounds, resolving the contradiction between simplicity and adaptability.
4Manufacturing precision
If depth-exemplar-based inpainting is used to enforce structure diffusion, then filling accuracy improves, but processing speed decreases and real-time processing becomes unachievable
Solution Approach 1:
The patent transitions from spatial domain filling to temporal domain filling by utilizing background models constructed from historical video frames. Instead of filling holes based on spatial correlations within the current frame, the method projects background information from the temporal dimension, thereby resolving the contradiction between processing speed and filling accuracy for complex textures.
Data Source
AI summary
Embodiments of apparatuses, systems, and methods for a temporal hole filling are described. Specifically, an embodiment of the present invention may include a depth-based hole filling process that includes a background modeling technique (SGM). Beneficially, in such an embodiment, holes in the synthesized view may be filled effectively and efficiently.