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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...
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...
Through our work we managed to operate a display which has 480×272 resolution and 16 bit color depth with an FPGA equipped with an sbRIO 9632 developer card. The program was written in LabView and rotates a cube. With this work we managed to rotate a cube in 3D, create a 2D image from it with central projection, and then visualize it on the display, all of this on FPGA. The connection between the...
Multiview video coding (MVC) improves the coding efficiency by motion estimation (ME) and disparity estimation (DE). ME and DE at encoder side involve in heavy computation, which needs to be further reduced for practical applications. This paper presents fast disparity estimation by utilizing depth information to reduce DE's computational complexity. First, the coordinate offset of the encoding block...
This document explains in system level how a rendering hardware can efficiently be used in assisting BLOB detection. This hardware is able to rotate a prototype object around six degrees of freedom in a fast manner within a dedicated memory. Moreover, a 2D boundary of the prototype object can be extracted and that information can be used to enhance the detection of targeted objects within the visual...
In this paper, a novel approach that addresses the stereo correspondence problem is proposed. Some recent techniques that transform the stereo correspondence problem to a minimization of a global energy function are based on graph cuts. These techniques based on graph cuts consider all possible disparities between minimum and maximum values for each pixel. The originality of this work is to construct...
augmented reality applications overlap virtual objects over a real scene considering the context. Today, more advanced applications also make use of diminished reality, which removes real objects from a scene. This paper describes a novel approach that combines augmented reality and diminished reality techniques to modify real objects in augmented reality applications. The proposed approach removes...
From a rectified stereo image pair, the task of view synthesis is to generate images from any viewpoint along the baseline. The main difficulty of the problem is how to fill occluded regions. In this paper, we present a new method for view synthesis that is both fast and accurate. Occlusions are filled using color and disparity information to produce consistent pixel estimates. Results are comparable...
The scene flow in binocular stereo setup is estimated using a seed growing algorithm. A pair of calibrated and synchronized cameras observe a scene and output a sequence of images. The algorithm jointly computes a disparity map between the stereo images and optical flow maps between consecutive frames. Having the calibration, this is a representation of the scene flow, i.e. a 3D velocity vector is...
We present a novel stereo video disparity estimation method. The proposed method is a two-stage algorithm. During the first stage, initial disparity maps are computed in a frame-by-frame basis. In the second stage, the initial estimates are treated as a space-time volume. By setting up an l1-normed minimization problem with a novel three-dimensional total variation regularization, spatial smoothness...
View synthesis offers a great flexibility in generating free viewpoint television (FTV) and 3D video (3DV). However, the depth-image-based view synthesis approach is very sensitive to errors in the camera parameters or poorly estimated depth maps (also called depth images). Because of these errors, three kinds of artifacts (blurring, contour, hole) are possibly introduced during the general synthesis...
Binocular luster is an extremely salient effect seen in 3D when an object in each stereo image exhibits a different contrast polarity relative to the background. The object appears to shimmer, a phenomenon seen in nature and on 3D displays, which the Human Visual System rapidly detects. This binocular luster is also induced by compression of stereo imagery where corresponding blocks are quantized...
In stereo vision researches, feature-based stereo matching algorithms have been widely used in the preference of low computation cost and high matching accuracy. This paper presents a new stereo matching algorithm based on feature links. The proposed method, which is called feature link matching, utilizes the length and color information of feature links in stereo images. The proposed algorithm is...
The display of complex 3D scenes in real-time on mobile devices is difficult due to the insufficient data throughput and a relatively weak graphics performance. Hence, we propose a client-server system, where the processing of the complex scene is performed on a server and the resulting data is streamed to the mobile device. In order to cope with low transmission bit rates, the server sends new data...
In this paper, we explore the notion of using frames to project sensed colors within their inherently 3D space onto a larger number of color basis vectors. In particular, we develop a new frame design, Incoherent Color Frames (ICF), which can include an arbitrary number of incoherent color vectors. An ICF frame possesses key desired properties including the ability to sparsify colors in 3D and to...
In this paper, we introduce a novel probabilistic approach to handle occlusions and perspective effects. The proposed method is an object based method embedded in a marked point process framework. We apply it for the size estimation of a penguin colony, where we model a penguin colony as an unknown number of 3D objects. The main idea of the proposed approach is to sample some candidate configurations...
In this paper, we present a semi-automated method for converting conventional 2D images to stereoscopic 3D. User-defined strokes that correspond to a rough estimate of the depth values in the scene are defined for the image of interest. With these strokes, our system thus determines what the depth values are for the rest of the image, producing a depth map that is ultimately used to create a stereoscopic...
The computation of indirect illumination is fundamental to simulate lighting within a virtual scene correctly and is critical when creating interactive applications, such as games for serious applications. The computation of such illumination is typically prohibitive for interactive or real-time performance if the visibility aspect of the indirect illumination is to be maintained. This paper presents...
We present a multi-modal surface reconstruction approach, which utilizes direct surface orientation measurements along with luminance information to obtain high quality 3D reconstructions. The proposed approach models local surface geometry as a set of intersecting natural cubic splines estimated through least squares fitting of our input pixel-wise surface normal measurements. We use this representation...
When 3D video is transmitted over lossy channels, different strategies can be adopted at the different layers of the communication protocol stack to cope with such errors, in a cross-layer operation framework. At the receiver side, effective error concealment methods are necessary to overcome the quality loss due to erroneous packets. The existing concealment techniques for conventional 2D video can...
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