Abstract
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.
Highlights
In recent years, there has been an increased interest in exploring light field techniques in 3D visualisation
To overcome the problem of generated low resolution viewpoint images from holoscopic 3D (H3D) images, we evaluated and optimised computer-generated images using H3D capturing concept with different Macrolens array (MLA) sizes
The holoscopic 3D imaging technology has the ability to record the full parallax of any given scene; the work associated with this paper takes advantage of that unique ability to aid the creation of multiple viewpoints for multiview displays since this serves as a cost-effective mechanism for capturing multiview content
Summary
There has been an increased interest in exploring light field techniques in 3D visualisation. The need arose due to issues with the current methods of commercially available 3D visualisation systems which are tend to cause eye strain, fatigue, and headaches after a short period of time These visual discomfort issues are attributed to the fact that the display viewers should focus on the screen plane to accommodate their eyes on the 3D display screen and converge their eyes to a point in space in different screen plane (convergence), producing unnatural 3D viewing experience [16]. With H3D imaging, this process is more intuitive because the images are captured by recording more angular and natural light information without having to create a mental 3D image or use 3D eyewear [17] The performance of such light field systems, has been limited by the camera sensor size (number of pixels) and of the characteristics of the microlens array [18, 19].
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