Due to the nature of holoscopic 3D (H3D) imaging technology, H3D cameras can capture more angular information than their conventional 2D counterparts. This is mainly attributed to the macrolens array which captures the 3D scene with slightly different viewing angles and generates holoscopic elemental images based on fly’s eyes imaging concept. However, this advantage comes at the cost of decreasing the spatial resolution in the reconstructed images. On the other hand, the consumer market is looking to find an efficient multiview capturing solution for the commercially available autostereoscopic displays. The autostereoscopic display provides multiple viewers with the ability to simultaneously enjoy a 3D viewing experience without the need for wearing 3D display glasses. This paper proposes a low-delay content adaptation framework for converting a single holoscopic 3D computer-generated image into multiple viewpoint images. Furthermore, it investigates the effects of varying interpolation step sizes on the converted multiview images using the nearest neighbour and bicubic sampling interpolation techniques. In addition, it evaluates the effects of changing the macrolens array size, using the proposed framework, on the perceived visual quality both objectively and subjectively. The experimental work is conducted on computer-generated H3D images with different macrolens sizes. The experimental results show that the proposed content adaptation framework can be used to capture multiple viewpoint images to be visualised on autostereoscopic displays.

由于全息3D（H3D）成像技术的性质，H3D摄像机比传统的2D摄像机可以捕获更多的角度信息。这主要归因于微距镜头阵列，该阵列以略微不同的视角捕获3D场景，并基于苍蝇的眼睛成像概念生成全息元素图像。但是，该优点是以降低重构图像中的空间分辨率为代价的。另一方面，消费市场正在寻找一种针对商用自动立体显示器的高效多视图捕获解决方案。自动立体显示器为多个观看者提供了无需佩戴3D显示器眼镜即可同时享受3D观看体验的能力。本文提出了一种低延迟内容自适应框架，用于将单个全息3D计算机生成的图像转换为多个视点图像。此外，它使用最近邻和双三次采样插值技术研究了变化的插值步长大小对转换后的多视图图像的影响。此外，它使用提议的框架客观地和主观地评估了改变微透镜阵列尺寸对感知视觉质量的影响。实验工作是在计算机生成的具有不同微距尺寸的H3D图像上进行的。实验结果表明，提出的内容自适应框架可用于捕获要在自动立体显示器上可视化的多个视点图像。