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In 3D video transmission, the depth map is normally compressed by resolution reduction to save bandwidth. The lost information in resolution reduction is recovered by an appropriate upsampling algorithm in decoding step. Most previous work considers the depth upsampling problem as common 2D map upsampling problem and do not take the intrinsic property of depth map into consideration. In this paper,...
This paper presents an efficient video-on-demand (VOD) scheme for free viewpoint television (FTV), and proposes a data format and its data generation method to provide a walkthrough experience. We employ a hybrid rendering approach to describe a 3D scene using 3D model data for objects and textures. However, conventional hybrid rendering methods such as multi-texturing include excessive redundancy...
In this paper, we present a novel scene change detection algorithm for mobile camera platforms. Our approach integrates sparse 3D scene background modelling and dense 2D image background modelling into a unified framework. The 3D scene background modelling identifies inconsistent clusters over time in a set of 3D cloud points as the scene changes. The 2D image background modelling further confirms...
An algorithm to generate a panorama from multi-view images, which contain foreground objects with varying depths, is proposed in this work. The proposed algorithm constructs a foreground panorama and a background panorama separately, and then merges them into a complete panorama. First, the foreground panorama is obtained by finding the translational displacements of objects between source images...
In this paper we propose a novel approach to error concealment that can be applied to MVC and other 3D video coding technologies. The image content, that is lost due to errors, is recovered with use of multiple error-concealment techniques. In our work we have used three techniques: well-known temporal- and intra-based techniques and a novel inter-view technique. Proposed inter-view recovery employs...
A sub-pixel virtual view synthesis (SPVVS) method is proposed in this paper. In the proposed method, by promoting the sampling rate of the target virtual view, the sub-pixel information of the corresponding pixel position among multiple input views with sub-pixel displacement can be utilized. A directional adaptive image interpolation is manipulated to generate a high resolution intermediate image,...
In 3D video communication, how to select the appropriate quantization parameter (QP) for depth map coding is very important for obtaining the optimal view synthesis quality. This paper first analyzes the depth uncertainty induced two kinds of view synthesis errors, namely the original depth error induced view synthesis error and the depth compression induced view synthesis error, and then proposes...
In this paper, we propose a binocular framework for face liveness verification under unconstrained localization. The proposed framework contains two components: the first component localizes imbalanced points in face regions of an input pair of stereo images and the second component detects whether an imaging face is a 2D object or a 3D object. We test the propose framework on a publicly available...
Stereo vision systems in a Robotic navigation environment determine the depth in the form of a depth map image from two or more images which are taken at the same time, but from slightly different viewpoints. Ground suppression from depth map is essential for object reconstruction in 3D environment as the ground surface is considered as traveling medium than as an object. Ground separated depth map...
Spacetime stereo is a promising technique for accurate 3D reconstruction based on randomly varying illumination and temporal integration of the stereo matching cost. In this paper we show that the standard spacetime stereo approach can be improved in terms of accuracy of disparity estimation and convergence speed by adoption of suitable matching algorithms based on adaptive support windows. We also...
The future of video coding for 3DTV lies in the combination of depth maps and corresponding textures. Most current video coding standards, however, are only optimized for visual quality and are not able to efficiently compress depth maps. We present in this work a content adaptive depth map meshing with tritree and entropy encoding for 3D videos. We show that this approach outperforms the intra frame...
We propose a novel 3D space representation for multi-view video, using epipolar plane depth images (EPDI). Multi-view video plus depth (MVD) is used as common data format for FTV(Free-viewpoint TV), which enables synthesizing virtual view images. Due to large amount of data and complexity of the multi-view video coding (MVC), compression of MVD is a challenging issue. We address this problem and propose...
In this paper, architecture of a three dimensional (3D) compressive acquisition CMOS image sensor integrated with on-line parallel compression algorithm is proposed. The proposed 3D sensor architecture consists of three hierarchy layers: an image acquisition hierarchy, an image compression hierarchy layer, and an image storage hierarchy layer. The image acquisition hierarchy converts light intensity...
In the working environment of argument reality, users interact with virtual objects by hands. Making real-time collision detection between virtual and real objects is very essential to enhance the immersion and authenticity of the environment. In this paper, the key points of hand are marked by color block. We use a pair of common web cameras to collect images and track the points. Then the stereo...
Stereo vision is an important branch of the research area in computer vision. Among the techniques of stereo vision, binocular stereo vision which is based on processing two images remains a research hotspot. Binocular stereo vision directly simulates the manner of human eyes observing one scene from two different viewpoints. By using the principle of triangulation, the disparities of a number of...
The large amount of image data from the captured 3D integral image requires to be presented with adequate resolution. It is therefore necessary to develop compression algorithms that take advantage of the characteristics of the recorded integral image. In this paper we propose a new compression method that is adapted to integral imaging. According to the optical characteristics of integral imaging,...
This paper details an alternative approach to rendering 3D digital environments using fixation-based disorder fields that maintain high object saliency and provide greater depth perception across the entire visual field The research undertaken compares the visual effect of applying disorder to an animated sequence as a simple 2D image space post-effect process, with a new 3D world space approach....
This study presents a novel 3D optical proximity sensor (3D OPS) array panel. The panel is capable of detecting the objectives centimeters away from the panel surface. This device is composed of light-emitting diodes and home-made polymer photo-detectors (PPDs). The novel design of the circuit is the operation principle through active pixel circuit, sampling circuit, amplifier circuit and the decision...
OLED displays are thin by nature and can be made transparent. Stacking several layers of the same, one over the other, would make it possible to show a three-dimensional display that carries all the advantages of OLEDs as opposed to traditional LCD and Plasma Displays. These OLEDs are made using the Triplet Triplet Annihilation (TTA) method a.k.a Annihilation-assisted Up-conversion. Such displays...
In this paper, we present an efficient rectification algorithm for un-calibrated multi-view images based on SIFT (Scale-invariant feature transform) feature matching. Un-calibrated rectification is necessary for some specific occasions and we extend generic stereo pair rectification to multi-view camera array with projection shift method. We bring in SIFT algorithm to extract and match features (key...
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