Automated Stereoscopic Image Conversion and Reconstruction. Displaying Objects in Their Real Dimensions(Stereoscopic Image Conversion) (original) (raw)

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.

Depth-Map Generation using Pixel Matching in Stereoscopic Pair of Images

2019

Modern day multimedia content generation and dissemination is moving towards the presentation of more and more `realistic' scenarios. The switch from 2-dimensional (2D) to 3-dimensional (3D) has been a major driving force in that direction. Over the recent past, a large number of approaches have been proposed for creating 3D images/videos most of which are based on the generation of depth-maps. This paper presents a new algorithm for obtaining depth information pertaining to a depicted scene from a set of available pair of stereoscopic images. The proposed algorithm performs a pixel-to-pixel matching of the two images in the stereo pair for estimation of depth. It is shown that the obtained depth-maps show improvements over the reported counterparts.

A Novel Stereoscopic view approach for 2D to 3D Conversion for 3D displays

In recent years, many new progresses in the 3D imaging have been made and increasingly given, more attention. Visual quality of 3D display is high compared to 2D displays, but, the depth information is necessary for 3D display which is unavailable in the normal 2D content. The Stereoscopic image provides detailed information of each object in the three dimensional image and it helps to observe the image in a enhanced way. The Stereoscopic images are also called as 3D images. So, converting 2D videos into 3D ones is an important issue in emerging 3D applications. This paper presents a novel technique to estimate depth information from a given input. The depth is estimated using three depth cues, depth from motion, depth from geometrical perspective and depth from color information. A block matching algorithm is used to estimate the depth from motion. To diminish the block effect and to generate comfortable depth map a cross bilateral filter is applied and finally Depth Image Based Rendering method (DIBR) is used to generate multiview video.

Depth estimation for semi-automatic 2D to 3D conversion

The conversion of monoscopic footage into stereoscopic or multiview content is a difficult and time consuming task. A number of semi-automatic methods have been developed to speed up the process and provide some control to the user. However these methods require that the user provide detailed labels indicating the relative depth of objects in the scene. In this paper we present a method to automatically estimate depth in such a way that it is amenable to semiautomatic conversion. The method is designed to simplify the depth labelling task so that the user does not have to provide as many depth labels.

Robust Semi-Automatic Depth Map Generation in Unconstrained Images and Video Sequences for 2D to Stereoscopic 3D Conversion

We describe a system for robustly estimating synthetic depth maps in unconstrained images and videos, for semi-automatic conversion into stereoscopic 3D. Currently, this process is automatic or done manually by rotoscopers. Automatic is the least labor intensive, but makes user intervention or error correction difficult. Manual is the most accurate, but time consuming and costly. Noting the merits of both, a semi-automatic method blends them together, allowing for faster and accurate conversion.

Novel Algorithm for Converting 2D Image to Stereoscopic Image with Depth Control using Image Fusion

The Stereoscopic image provide information on details of each object in the image in three dimension and helps to observe the image in a better way. The Stereoscopic images are also called as 3D images. The 3D Digital Cameras, 3D Televisions, 3D Projectors etc. are commonly available in the electronic stores in a reasonable price. The people prefer 3D images than the 2D image. The 3D image provides more information than the 2D image. The 3D image makes the people to experience real time world in a 2D device. The medical field uses 3D Scan image as a diagnostic tool for various diseases. There are many scientists working in the area of 3D images and movies. A faster 2D to 3D conversion algorithm is developed using Image Fusion technique. The algorithm creates two images one as left eye view and another one as right eye view with reference to the user defined depth. These left view image and right view image are fused with mean value. The left view image and fused image are stored in the 3D image format MPO and shall be viewed in 3D capable device.

Conversion of 2 D to 3 D Stereoscopic Images

2015

3D show takes fortunate thing about the improvement of making to somewhat assorted photos of every scene displaying to human vision. Along with Fitting dissimilarity & arrangement of attributes, various parts of picture is closer inquiries can raised variations though protests at foundation can have relatively poorer incongruities Based upon difference guide, arranged methods are frequently used for unwinding of closer view from establishment and a right 3D perception are most test in 3D imaging is that the clamor substance of the info picture and corrupted nature of the remade picture. In this paper an honest conception introduced to urge thriving conversion of 2Dimensional pictures to 3Dimensional. During this concept once the institutionalization, picture is shifted to reduce the commotion content Keywords—Stereoscopic Images, 2D, 3D, Scan line Conversion

Improving the quality of generated Depth in a 2D to 3D conversion system

In this paper a new approach for 2D to 3D conversion procedure for the stereoscopic display is described. There is an increasing demand of 3D contents; converting existing 2D content to 3D content has created the interest and motivated the researcher's to work towards 3D image processing. An automatic conversion method is proposed which estimates the depth information from the given 2D video. We proposed a new methodology which generates the depth map from the commercial video sequences. The 2D video is given as input and depth information is generated using different depth cues like motion parallax, color segmentation, motion segmentation and geometry. The generated depth map is fused and by using cross bilateral filter the depth is smoothened. Dual Edge in paintingtechnique is used to in paint edge mismatched areas which improves the quality of the depth map. Finally using Depth Image based rendering technique stereoscopic view is generated.

The stereoscopic analyzer: an image-based assistance tool for stereo shooting and 3d production

2010

The paper discusses an assistance system for stereo shooting and 3D production, called Stereoscopic Analyzer (STAN). A feature-based scene analysis estimates in realtime the relative pose of the two cameras in order to allow optimal camera alignment and lens settings directly at the set. It automatically eliminates undesired vertical disparities and geometrical distortions through image rectification. In addition, it detects the position of near-and far objects in the scene to derive the optimal inter-axial distance (stereo baseline), and gives a framing alert in case of stereoscopic window violation. Against this background the paper describes the system architecture, explains the theoretical background and discusses future developments.