Disparity Estimation for Intermediate View Reconstruction of Multi-view Video
نویسندگان
چکیده
منابع مشابه
Block-Wise MAP Disparity Estimation for Intermediate View Reconstruction
A dense disparity map is required in the application of intermediate view reconstruction from stereoscopic images. A popular approach to obtaining a dense disparity map is maximum a-posteriori (MAP) disparity estimation. The MAP approach requires statistical models for modeling both a likelihood term and an a-priori term. Normally, a Gaussian model is used. In this contribution, block-wise MAP ...
متن کاملCorrespondence Estimation and Intermediate View Reconstruction
Stereoscopic vision is an important research area since 1861 when Wheatstone introduced the first stereoscopic device. After his basic device many technologies have been proposed to deliver 3D vision to audiences. Although most of these technologies require the viewer to wear special eyewear, new technologies are emerging that do not require glasses. These technologies, called autostereoscopic ...
متن کاملEstimation of large-amplitude motion and disparity fields: application to intermediate view reconstruction
This paper describes a method for establishing dense correspondence between two images in a video sequence (motion) or in a stereo pair (disparity) in case of large displacements. In order to deal with large-amplitude motion or disparity fields, multi-resolution techniques such as blocks matching and optical flow have been used in the past. Although quite successful, these techniques cannot eas...
متن کاملOcclusion-Free Estimation of Disparity from Multi-View Images
The disparity estimation from images is one of the most important technique for the 3-D image communication and virtual reality systems. In this paper, the authors propose a method of predicting views from the neighboring views by utilizing the disparity data. For this purpose, a method of disparity estimation, which aims to optimize the quality of the prediction, is also proposed. The proposed...
متن کاملWide-Baseline Multi-View Video Segmentation For 3D Reconstruction
Obtaining a foreground silhouette across multiple views is one of the fundamental steps in 3D reconstruction. In this paper we present a novel video segmentation approach, to obtain a foreground silhouette, for scenes captured by a wide-baseline camera rig given a sparse manual interaction in a single view. The algorithm is based on trimap propagation, a framework used in video matting. Bayesia...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Broadcast Engineering
سال: 2008
ISSN: 1226-7953
DOI: 10.5909/jbe.2008.13.6.915