Pre-processing of holoscopic 3D image for autostereoscopic 3D displays

M. Swash, A. Aggoun, O. Fatah, Bei Li, J. C. Fernandez, E. Alazawi, Emmanuel Tsekleves
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引用次数: 13

Abstract

Holoscopic 3D imaging also known as Integral imaging is an attractive technique for creating full color 3D optical models that exist in space independently of the viewer. The constructed 3D scene exhibits continuous parallax throughout the viewing zone. In order to achieve depth control, robust and real-time, a single aperture holoscopic 3D imaging camera is used for recording holoscopic 3D image using a regularly spaced array of microlens arrays, which view the scene at a slightly different angle to its neighbor. However, the main problem is that the microlens array introduces a dark borders in the recorded image and this causes errors at playback on the holoscopic 3D Display. This paper proposes a reference based pre-processing of holoscopic 3D image for autostereoscopic holoscopic 3D displays. The proposed method takes advantages of microlens as reference point to detect amount of introduced dark borders and reduce/remove them from the holoscopic 3D image.
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用于自立体三维显示器的全息三维图像预处理
全息3D成像也被称为积分成像是一种有吸引力的技术,用于创建独立于观看者存在的空间中的全彩3D光学模型。所构建的3D场景在整个观看区呈现连续视差。为了实现深度控制、鲁棒性和实时性,采用单孔径全息3D成像相机记录全息3D图像,微透镜阵列阵列的排列间隔规律,观察场景的角度与相邻微透镜阵列略有不同。然而,主要的问题是微透镜阵列在记录的图像中引入了暗边界,这会导致在全息3D显示器上播放时出现错误。提出了一种基于参考的全息三维图像预处理方法,用于自立体全息三维显示。该方法利用微透镜作为参考点,检测全息三维图像中引入的暗边界的数量,并将其减少或去除。
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