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Parameterized Variety Based View Synthesis Scheme for Multi-view 3DTV

机译:基于参数化的基于多视图3DTV的视图综合方案

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This paper presents a novel parameterized variety based view synthesis scheme for 3DTV and multi-view systems. We have generalized the parameterized image variety approach to image based rendering proposed in to handle full perspective cameras. An algebraic geometry framework is proposed for the parameterization of the variety associated with full perspective images, by image positions of three reference scene points. A complete parameterization of the 3D scene is constructed. This allows to generate realistic novel views from arbitrary viewpoints without explicit 3D reconstruction, taking few multi-view images as input from uncalibrated cameras. Another contribution of this paper is to provide a generalised and flexible architecture based on this variety model for multi-view 3DTV. The novelty of the architecture lies in merging this variety based approach with standard depth image based view synthesis pipeline, without explicitly obtaining sparse or dense 3D points. This integrated framework subsequently overcomes the problems associated with existing depth based representations. The key aspects of this joint framework are: 1) Synthesis of artifacts free novel views from arbitrary camera positions for wide angle viewing. 2) Generation of signal representation compatible with standard multi-view systems. 3) Extraction of reliable view dependent depth maps from arbitrary virtual viewpoints without recovering exact 3D points. 4) Intuitive interface for virtual view specification based on scene content. Experimental results on standard multi-view sequences are presented to demonstrate the effectiveness of the proposed scheme.
机译:本文介绍了用于3DTV和多视图系统的新型参数化基于视图综合方案。我们概括了参数化的图像种类方法来实现基于图像的渲染,提出以处理完整的透视照相机。提出了一种代数几何框架,用于通过三个参考场景点的图像位置进行与完整透视图像相关联的品种的参数化。构建了3D场景的完整参数化。这允许在没有显式3D重建的情况下从任意观点生成现实的新颖视图,从未校准摄像机的输入采取几个多视图图像。本文的另一个贡献是提供基于该多视图3DTV的各种模型的广义和灵活的架构。该体系结构的新颖性在于利用基于标准深度图像的视图合成管道合并了这种基于品种的方法,而不明确地获得稀疏或密集的3D点。该综合框架随后克服了与现有深度的表示相关的问题。该联合框架的关键方面是:1)从广角观察的任意摄像机位置的自由新颖视图的伪影的合成。 2)与标准多视图系统兼容的信号表示的产生。 3)从任意虚拟视点提取可靠视图依赖深度映射,而无需恢复精确的3D点。 4)基于场景内容的虚拟视图规范的直观接口。提出了标准多视图序列的实验结果以证明所提出的方案的有效性。

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