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The demand for high quality depth maps from stereo and multi-camera videos increases constantly. The main application for these depth maps is rendering new perspectives of the captured scene by means of Depth Image Based Rendering (DIBR). Accurate depth maps are the linchpin of DIBR. On the basis of a four-camera set-up, we show that combining hybrid recursive matching with motion estimation, cross...
We propose a method of filtering depth maps provided by Kinect depth camera. Filter uses output of the conventional Kinect camera along with the depth sensor to improve the temporal stability of the depth map and fill occlusion areas. To filter input depth map, the algorithm uses the information about motion and color of objects from the video. The proposed method can be applied as a preprocessing...
The interest in the production of stereoscopic contents is growing rapidly. High quality stereo material can be produced using vertical stereo camera rig but complex color discrepancies occur because of the optical characteristic of the half mirror. These discrepancies may severely increase an audience's sense of fatigue if s/he watches these stereoscopic contents for a long time. The color matching...
This paper aims to find out how ICT product upgrades influence customer satisfaction. It introduces a common method by which the Quarter Model is used to divide ICT product attributes into four sectors that will be treated differently, and then multiple linear regression model is utilized to analyze how much those attribute changes influence customer satisfaction. An empirical study on cell phone...
To satisfy the demand of the real-time computer vision system, a method of camera calibration was analysed. According to the camera model from OpenCV(Intel Open Source Computer Vision Library), with radial aberration and tangential aberration considered, Zhang's arithmetic of camera calibration was applied. As the experimental result showed, the arithmetic exerted OpenCV library function at a great...
Due to widespread broadband connections in normal households, the use of video chats via Internet is no longer limited to business meetings. However, the camera configuration usually makes it impossible to achieve direct eye contact between the conversational partners. This effect can be compensated using virtual view synthesis methods based on disparity maps. The virtual camera is positioned “behind”...
The efficient compression of multi-view-video-plus-depth (MVD) data raises the bit-rate allocation issue for the compression of texture and depth data. This question has not been solved yet because not all surveys reckon on a shared framework. This paper studies the impact of bit-rate allocation for texture and depth data relying on the quality of an intermediate synthesized view. The results show...
Patch cloud based multi-view stereo methods have proven to be an accurate and scalable approach for scene reconstruction. Their applicability, however, is limited due to the semi-dense nature of their reconstruction. We propose a method to generate a dense depth map from a patch cloud by assuming a planar surface model for non-reconstructed areas. We use local evidence to estimate the best fitting...
We present a new method for fully automated video matting. This method uses depth information acquired by a depth camera to automatically compute trimaps. Trimaps segment an image into three nonoverlapping regions (foreground, background, and unknown) and generation of a highly accurate trimap is one of the most important tasks in natural alpha matting. We propose an adaptive approach to generate...
In this paper, we propose an efficient and robust fall detection system by using a fuzzy one class support vector machine based on video information. Two cameras are used to capture the video frames from which the features are extracted. A fuzzy one class support vector machine (FOCSVM) is used to distinguish falling from other activities, such as walking, sitting, standing, bending or lying. Compared...
In this paper, we propose a new methodology for detecting lane markers that exploits the parallel nature of lane boundaries on the road. First, the input image is pre-processed and filtered to detect lane marker features. Then, using the Polar Randomized Hough Transform that is introduced in this paper, lines are fitted through the detected features and the orientation of each line is evaluated. By...
In this paper, we propose a novel method that uses coordinate alignment and background pixel extraction to synthesize highly accurate and spatially consistent intermediate views from a pair of stereo images and disparity maps. In contrast to the traditional depth image-based rendering (DIBR) method, where useful background pixels are discarded in the warping process, the proposed method extracts these...
Human detection in video streams is an important task in many applications including video surveillance. Surprisingly, only few papers have been devoted to this topic.
Conventional multi-view video coding (MVC) requires high encoding complexity and high rate data transmission from cameras to a joint encoder. Distributed coding theories guarantee that low complexity and independent encoders can achieve similar coding efficiency as traditional methods. However, there is still a big performance gap between current distributed multi-view video coding (DMVC) schemes...
In this paper, we propose a learning based approach to estimating pixel disparities from the motion information extracted out of input monoscopic video sequences. We represent each video frame with superpixels, and extract the motion features from the superpixels and the frame boundary. These motion features account for the motion pattern of the superpixel as well as camera motion. In the learning...
Obstacle detection has been one of the most critical features for reliable driving scene analysis. This paper presents an approach for an automatic obstacle detection system. The proposed system makes use of depth information generated by a 3D camera mounted on the front of a moving vehicle. Obstacles projected as line features in the V-U-Disparity map can be extracted to detect the road surface and...
In this paper, a real-time image segmentation algorithm is presented. It utilizes both color and depth information retrieved from a multi-sensor capture system, which combines stereo camera pairs with time-of-flight range sensor. The algorithm targets low complexity and fast implementation which can be achieved through parallelization. Applications, such as immersive videoconferencing and lecturer...
This paper proposes a novel method that utilizes inter-view correlation in order to reduce the bitrate required to represent the prediction mode including the intra prediction direction, the motion vectors, the reference picture indexes, and the sub-block partitioning. The proposed method derives these kinds of macroblock (MB) information at the decoder side by comparing each image signal predictor...
Depth Image Based Rendering (DIBR) is a technique to render virtual views from the video-plus-depth 3D scene representation. A common phenomenon in DIBR are disocclusions, i.e., unfilled areas that occur in the rendered views. The performance of disocclusion filling algorithms is usually only tested in terms of their ability of finding plausible fillings frame-by-frame. Time-consistency, however,...
In high quality imaging even tiny distortions as small as a single pixel are visible and can not be accepted. Although the production quality of CMOS image sensors is very high, for reasonable yields we still need to accept some defect pixels and clusters of defects in large image sensors. In this paper we will compare compensation algorithms for raw image sensor data. We propose a new approach based...
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