Depth-image-basedrendering (DIBR) is a key method for synthesizing virtual views from multiple RGB-D video streams. A challenging issue inherent in this approach is the disocclusion that occurs as the virtual viewpoi...
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ISBN:
(纸本)9781665440578
Depth-image-basedrendering (DIBR) is a key method for synthesizing virtual views from multiple RGB-D video streams. A challenging issue inherent in this approach is the disocclusion that occurs as the virtual viewpoint moves away from a reference view. In this work, we present a technique for extracting 3D geometric data, called the disocclusion-reducing geometry, from the input video streams. This auxiliary information, represented as a 3D point cloud, can then be combined easily with a conventional DIBR pipeline to reduce the disoccluded region as much as possible during the view warping process, eventually decreasing the visual artifacts by the subsequent hole-filling process.
Three-dimensional (3-D) models are information-rich and provide compelling visualization effects. However downloading and viewing 3-D scenes over the network may be excessive. In addition low-end devices typically hav...
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Three-dimensional (3-D) models are information-rich and provide compelling visualization effects. However downloading and viewing 3-D scenes over the network may be excessive. In addition low-end devices typically have insufficient power and/or memory to render the scene interactively in real-time. Alternatively, 3-D image warping, an image-based-rendering technique that renders a two-dimensional (2-D) depth view to form new views intended from different viewpoints and/or orientations, may be employed on a limited device. In a networked 3-D environment, the warped views may be further compensated by the graphically rendered views and transmitted to clients at times. Depth views can be considered as a compact model of 3-D scenes enabling the remote rendering of complex 3-D environment on relatively low-end devices. The major overhead of the 3-D image warping environment is the transmission of the depth views of the initial and subsequent references. This paper addresses the issue by presenting an effective remote rendering environment based on the deep compression of depth views utilizing the context statistics structure present in depth views. The warped image quality is also explored by reducing the resolution of the depth map. It is shown that proposed deep compression of the remote rendered view significantly outperforms the JPEG2000 and enables the realtime rendering of remote 3-D scene while the degradation of warped image quality is visually imperceptible for the benchmark scenes.
This paper presents an approach to capture visual appearance of a real environment such as an interior of a, room. NNW propose the method for generating arbitrary viewpoint images by building light field with the omni...
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ISBN:
(纸本)0819450235
This paper presents an approach to capture visual appearance of a real environment such as an interior of a, room. NNW propose the method for generating arbitrary viewpoint images by building light field with the omni-directional camera, which can capture the wide circumferences. Omni-directional camera used in this technique is a special camera with the hyperbolic mirror in the upper part of a camera, so that we can capture luminosity in the environment in the range of 360 degree of circumferences in one image. We apply the light field method, which is one technique of image-based-rendering (IBR), for generating the arbitrary viewpoint images. The light field is a kind of the database that records the luminosity, information in the object space. We employ the omni-directional camera for constructing the light field, so that, we can collect, many view direction images in the light field. Thus our method allows the user to explore the wide scene, that can acheive realistic representation of virtual enviroment. For demonstating the proposed method, we capture image sequence in our lab's interior environment with an omni-directional camera, and succesfully, generate arbitray viewpoint images for virual tour of the environment.
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