Image and Geometry Processing for 3-D Cinematography (original) (raw)
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An important factor for the interpretation and the analysis of an archaeological site is its topography. Maps often use dense contours and the information provided is neither always adequate, nor easy to be decoded by non-specialists. The creation of a 3D model, which includes the landscape and the under study monuments is not only a valuable tool but also an interesting final product for the non specialist. Unfortunately, the projection of such product into 2D screens (like monitors or projection screens) wastes the third dimension ...
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By 3-D cinematography we refer to techniques to generate 3-D models of dynamic scenes from multiple cameras at video frame rates. Recent developments in computer vision and computer graphics, especially in such areas as multiple-view geometry and image-based rendering have made 3-D cinematography possible. Important applications areas include production of stereoscopic movies, full 3-D animation from multiple videos, special effects for more traditional movies, and broadcasting of multiple-viewpoint television, among others. Drawing from two recent workshop on 3-D Cinematography, the 12 chapters in this book are original contributions by scientists who have contributed to the mathematical foundations of the field and practitioners who have developed working systems.
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ABSTRACT— In this paper a software prototype that is able to convert a single image into a stereoscopic image pair is discussed. The prototype uses methods of image analysis and self-developed algorithms to aid the reconstruction of pixel information between 2D-3D conversions, the details of which are discussed in depth. The prototype obtains estimated depth values from a single still image and computes a most likely recreation of the original scene in the image based on regional clustering, lighting and camera focus information. New theoretical improvements to enhance accuracy during the depth map estimation process focusing on a Statistical Depth Map are discussed as well. The last aim of this paper is to give an approach for creating 3D images that contain objects which have to be displayed and appear on autostereoscopic screens in their real dimensions. For example, we have a picture or 3D model of a museum artefact, tool or whatever and we want to display it on an autostereosco...
Implementing an improved stereoscopic camera model
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The usable perceived depth range of all stereoscopic 3D displays is limited by human factors considerations to a bounded range around the plane of the display. To account for this our Three Region stereoscopic camera model is able to control the depth mapping from scene to ...
Towards a 3D Video Format for Auto-Stereoscopic Displays
2008
There has been increased momentum recently in the production of 3D content for cinema applications; for the most part, this has been limited to stereo content. There are also a variety of display technologies on the market that support 3DTV, each offering a different viewing experience and having different input requirements. More specifically, stereoscopic displays support stereo content and require glasses, while auto-stereoscopic displays avoid the need for glasses by rending view-dependent stereo pairs for a multitude of viewing angles. To realize high quality auto-stereoscopic displays, multiple views of the video must either be provided as input to the display, or these views must be created locally at the display. The former approach has difficulties in that the production environment is typically limited to stereo, and transmission bandwidth for a large number of views is not likely to be available. This paper discusses an emerging 3D data format that enables the latter approach to be realized. A new framework for efficiently representing a 3D scene and enabling the reconstruction of an arbitrarily large number of views prior to rendering is introduced. Several design challenges are also highlighted through experimental results.
Stereoscopic Displays and Applications XXII, 2011
The 3D shape perceived from viewing a stereoscopic movie depends on the viewing conditions, most notably on the screen size and distance, and depth and size distortions appear because of the differences between the shooting and viewing geometries. When the shooting geometry is constrained, or when the same stereoscopic movie must be displayed with different viewing geometries (e.g. in a movie theater and on a 3DTV), these depth distortions may be reduced by novel view synthesis techniques. They usually involve three steps: computing the stereo disparity, computing a disparity-dependent 2D mapping from the original stereo pair to the synthesized views, and finally composing the synthesized views. In this paper, we focus on the second and third step: we examine how to generate new views so that the perceived depth is similar to the original scene depth, and we propose a method to detect and reduce artifacts in the third and last step, these artifacts being created by errors contained in the disparity from the first step.