Simultaneous Generation of Stereoscopic Views (original) (raw)
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2Simultaneous Generation of Stereoscopic Views
2015
Currently almost all computer graphic stereoscopic images are generated by doubling the work required to create a single image. In this paper we derive and analyze algorithms for simultaneous generation of the two views necessary for a stereoscopic image. We begin with a discussion of the similarities of the two perspective views of a stereo pair. Following this, several graphics algorithms that have been optimized from known single-view methods are described and performance results obtained from testing the new stereo algorithms against the originals are presented.
An accelerated rendering algorithm for stereoscopic display
Computers & Graphics, 1996
With the development of the scientific visualization and the virtual environment techniques, stereo viewing systems have now been used extensively. In this paper, we present an accelerated rendering algorithm for stereoscopic display. As the difference between the k:ft view and the right view is slight, we generate the right view by a transformation of the left view conforming to the stereo disparity. The problem of visibility change of a few polygons during the transformation is discussed and an efficient algorithm is developed for filling the holes that may arise in the right view after the transformation. This method makes full use of the coherence between the left view and the right view. Experiments prove its efficiency.
Novel view synthesis for stereoscopic cinema
Proceedings of the 1st international workshop on 3D video processing - 3DVP '10, 2010
Novel view synthesis methods consist in using several images or video sequences of the same scene, and creating new images of this scene, as if they were taken by a camera placed at a different viewpoint. They can be used in stereoscopic cinema to change the camera parameters (baseline, vergence, focal length...) a posteriori, or to adapt a stereoscopic broadcast that was shot for given viewing conditions (such as a movie theater) to a different screen size and distance (such as a 3DTV in a living room) [3]. View synthesis from stereoscopic movies usually proceeds in two phases [11]: First, disparity maps and other viewpoint-independent data (such as scene layers and matting information) are extracted from the original sequences, and second, this data and the original images are used to synthesize the new sequence, given geometric information about the synthesized viewpoints. Unfortunately, since no known stereo method gives perfect results in all situations, the results of the first phase will most probably contain errors, which will result in 2D or 3D artifacts in the synthesized stereoscopic movie. We propose to add a third phase where these artifacts are detected and removed is each stereoscopic image pair, while keeping the perceived quality of the stereoscopic movie close to the original.
Development of Stereoscopic Image Editing Tool using Image-Based Modeling
2006
In recent years, techniques have shown an increased interest in research and development related to stereoscopic imaging. However, unlike 2D image, stereoscopic image is generated by generally 3D geometric information. Therefore, the lack of 3D geometric information sometimes imposes restrictions or makes editing more tedious. In this work, we overcome some of these limitations and present a new unsupervised technique aimed to generate stereoscopic image which is estimated depth-map information using image-based modeling from a single input image. Our approach, which is image-based modeling and depth-map based generation of stereoscopic image, has two components. The first component is an easy-to-use depth-map generation module which facilitates the recovery of a basic geometric model of the photographed scene. Our depth-map generation module is effective, convenient, and intuitive because it exploits the user-specified modification tool and template shape based object modification tool. The second component is an interactive stereoscopic image generation module which able to determine stereoscopic view of high quality and making binocular fusion rapid and more comfortable. This system is architected as the Adobe Photoshop plug-in which provides function that uses easily each layer with image data information.
Computer Generated Stereoscopic Artwork
The focus of this work is to investigate and simulate artistic techniques in stereoscopy that go beyond stereo photography, such as stereoscopic painting. We briefly discuss the topic from a stereo artist's perspective and map some of our observations from traditional stereo techniques to the scientific domain, where we use them to tackle technical tasks involved in the generation of stereo artwork. We describe a framework that we use in our stereoscopic image-based non-photorealistic rendering algorithms, but it can be adopted by other single-view artistic image synthesis techniques in order to generate stereoscopic output.
Accelerated stereoscopic rendering using gpu
2008
This paper presents a new method to create a pair of stereoscopic images in one pass. Our algorithm takes advantage of the latest version of GPUs, including geometry shaders. Given the left viewpoint of a scene, primitives are duplicated and transformed to compute the right image. Hence this method saves the extra-time required to recompute attributes of the vertices for the second view in the traditional rendering pipeline. Even for very complex scenes, our method provides stereoscopic pair roughly twice faster than a traditional method and involves few additional implementations.
2016
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...
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.