due to the increased popularity of augmented and virtual reality experiences, the interest in capturing the real world in multiple dimensions and in presenting it to users in an immersible fashion has never been highe...
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due to the increased popularity of augmented and virtual reality experiences, the interest in capturing the real world in multiple dimensions and in presenting it to users in an immersible fashion has never been higher. distributing such representations enables users to freely navigate in multisensory 3d media experiences. Unfortunately, such representations require a large amount of data, not feasible for transmission on today's networks. Efficient compression technologies well adopted in the content chain are in high demand and are key components to democratize augmented and virtual reality applications. Moving Picture Experts Group, as one of the main standardization groups dealing with multimedia, identified the trend and started recently the process of building an open standard for compactly representing 3d point clouds, which are the 3d equivalent of the very well-known 2d pixels. This paper introduces the main developments and technical aspects of this ongoing standardization effort.
This paper describes transformations between elemental image arrays and a RGBd image for three-dimensional integral imaging and transmitting systems. Two transformations are introduced and analyzed in the proposed met...
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This paper describes transformations between elemental image arrays and a RGBd image for three-dimensional integral imaging and transmitting systems. Two transformations are introduced and analyzed in the proposed method. Normally, a RGBd image is utilized in efficient 3ddata transmission although 3d imaging anddisplay is restricted. Thus, a pixel-to-pixel mapping is required to obtain an elemental image array from a RGBd image. However, transformations and their analysis have little attention in computational integral imaging and transmission. Thus, in this paper, we introduce two different mapping methods that are called as the forward and backward mapping methods. Also, two mappings are analyzed and compared in terms of complexity and visual quality. In addition, a special condition, named as the hole-free condition in this paper, is proposed to understand the methods analytically. To verify our analysis, we carry out experiments for test images and the results indicate that the proposed methods and their analysis work in terms of the computational cost and visual quality.
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