Abstract: Automultiscopic displays enable glasses-free 3D viewing by providing both binocular and motion parallax. Within the display field of view, different images are observed depending on the viewing direction. When moving outside the field of view, the observed images may repeat. Light fields produced by lenticular and parallax-barrier automultiscopic displays may have repetitive structure with significant discontinuities between the fields of view. This repetitive structure induces visual artifacts in the form of view discontinuities, depth reversals, and extensive disparities. To overcome this problem, a method modifies the presented light field automultiscopic image content and makes it more repetitive. In the method, a light field is refined using global and local shearing and then the repeating fragments are stitched. The method reduces the discontinuities in the displayed light field and leads to visual quality improvements.

Abstract: Automultiscopic displays enable glasses-free 3D viewing by providing both binocular and motion parallax. Within the display field of view, different images are observed depending on the viewing direction. When moving outside the field of view, the observed images may repeat. Light fields produced by lenticular and parallax-barrier automultiscopic displays may have repetitive structure with significant discontinuities between the fields of view. This repetitive structure induces visual artifacts in the form of view discontinuities, depth reversals, and extensive disparities. To overcome this problem, a method modifies the presented light field image content and makes it more repetitive. In the method, a light field is refined using global and local shearing and then the repeating fragments are stitched. The method reduces the discontinuities in the displayed light field and leads to visual quality improvements.

Abstract: Multi-view autostereoscopic displays provide an immersive, glasses-free 3D viewing experience, but they preferably use correctly filtered content from multiple viewpoints. The filtered content, however, may not be easily obtained with current stereoscopic production pipelines. The proposed method and system takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that may be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and may be efficiently implemented on current GPUs to yield real-time performance. Furthermore, the ability to retarget disparity is naturally supported. The method is robust and works transparent materials, and specularities. The method provides superior results when compared to the state-of-the-art depth-based rendering methods.

Abstract: Automultiscopic displays enable glasses-free 3D viewing by providing both binocular and motion parallax. Within the display field of view, different images are observed depending on the viewing direction. When moving outside the field of view, the observed images may repeat. Light fields produced by lenticular and parallax-barrier automultiscopic displays may have repetitive structure with significant discontinuities between the fields of view. This repetitive structure induces visual artifacts in the form of view discontinuities, depth reversals, and extensive disparities. To overcome this problem, a method modifies the presented light field image content and makes it more repetitive. In the method, a light field is refined using global and local shearing and then the repeating fragments are stitched. The method reduces the discontinuities in the displayed light field and leads to visual quality improvements.

Abstract: Multi-view autostereoscopic displays provide an immersive, glasses-free 3D viewing experience, but they preferably use correctly filtered content from multiple viewpoints. The filtered content, however, may not be easily obtained with current stereoscopic production pipelines. The proposed method and system takes a stereoscopic video as an input and converts it to multi-view and filtered video streams that may be used to drive multi-view autostereoscopic displays. The method combines a phase-based video magnification and an interperspective antialiasing into a single filtering process. The whole algorithm is simple and may be efficiently implemented on current GPUs to yield real-time performance. Furthermore, the ability to retarget disparity is naturally supported. The method is robust and works transparent materials, and specularities. The method provides superior results when compared to the state-of-the-art depth-based rendering methods.