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Boosting has been widely used for discriminative modeling of objects in images. Conventionally, pixel- and patch-based features have been used, but recently, features defined on multilevel aggregate regions were incorporated into the boosting framework, and demonstrated significant improvement in object labeling tasks. In this paper, we further extend the boosting on multilevel aggregates method to...
This paper proposes a coarse-to-fine two-level synchronous data acquisition and transmission system for binocular stereo vision, which satisfies strict synchronous requirement of stereo vision.Specifically,this synchronization system design contains: the hardware circuit design based coarse level and the hardware description language (HDL) design based fine level.The former includes synchronization...
The stereo-matching algorithm based on adaptive-weight can produce disparity map of high precision. However it is not suitable for real-time application due to high computational complexity. Wang etc apply one pass aggregation to adaptive-weight algorithm and can achieve real-time performance but with a much lower precision. This paper presents a new real-time adaptive weight stereo matching algorithm...
The extraction of disparity data by means of stereo matching has well known issues in regions of low texture. This paper proposes a method which employs texture classification metrics in order to make predictions on the quality of the stereo matching output. Such predictions can then be used to alter the way the disparity data is used in further processing, or to even cancel processing of a pixel...
We present an algorithm for estimating dense image correspondences. Our versatile approach lends itself to various tasks typical for video post-processing, including image morphing, optical flow estimation, stereo rectification, disparity/depth reconstruction and baseline adjustment. We incorporate recent advances in feature matching, energy minimization, stereo vision and data clustering into our...
This paper provides an intuitive way to inference the space of a scene using stereo cameras. We first segmented the ground out of the image by adaptively learning the ground model in the image. We then used the convex hull to approximate the scene space. Objects within the scene can also be detected with the stereo cameras. Finally, we organized the scene space and the objects within the scene into...
In order to obtain depth information about a scene in computer vision, one needs to process pairs of stereo images. The calculation of dense depth maps in real-time is computationally challenging as it requires searching for matches between objects in both images. The task is significantly simplified if the images are rectified, a process which horizontally aligns the objects in both images. The process...
Scintillation noise artifacts are a part of intensified imagery for both analog and digital sensors. The high intensity flashes are similar to classic “salt” noise although they often are multiple pixels in extent; they can prove very distracting when utilizing intensified imagery under stressful conditions. In stereo intensified vision system, the fact that artifacts occur at different locations...
This paper describes a real-time stereo vision sensor based on the Field Programmable Gate Array (FPGA). It was developed using an image matching algorithm called Orientation Code Matching (OCM). Our implementation, using OCM, provides not only high performance, but also flexibility and a greater robustness, all of which are necessary to embed vision sensors in mobile robots and vehicles. The prototype...
A quick estimation of depth is required by artificial vision systems for their self survival and navigation through the environment. Following the selection strategy of biological vision, known as visual attention, can help in accelerating extraction of depth for important and relevant portions of given scenes. Recent studies on depth perception in biological vision indicate that disparity is computed...
Most of the TV manufacturers have released 3DTVs in the summer of 2010 using shutter-glasses technology. 3D video applications are becoming popular in our daily life, especially at home entertainment. Although more and more 3D movies are being made, 3D video contents are still not rich enough to satisfy the future 3D video market. There is a rising demand on new techniques for automatically converting...
In Depth-Image-Based-Rendering (DIBR) system, right images (left images) can be rendered by 3D-Warp. However, a large problem which is so-called disocclusion will exists in generated images. The previous work uses Gaussian filter to smooth depth maps to reduce the number of big holes, and then adopts an average filter to fill existing holes. However, lots of references show that this method will lead...
In this paper, we propose a new method for correcting the depth image, which was obtained by applying a matching scheme to stereo images and often includes parts with large error, based on the sparsity of depth image. When the depth image is obtained by a stereo matching, a small pixel correspondence error causes large estimation errors in the depth image. Also, original depth image can be considered...
Multiview video will play a pivotal role in the next generation visual communication media services like three-dimensional (3D) television and free-viewpoint television. These advanced media services provide natural 3D impressions and enable viewers to move freely in a dynamic real world scene by changing the viewpoint. High quality virtual view interpolation is required to support free viewpoint...
Current telepresence systems, while being a great step forward in videoconferencing, still have important points to improve in what eye-contact, gaze and gesture awareness concerns. Many-to-many communications are going to greatly benefit from mature auto-stereoscopic 3D technology; allowing people to engage more natural remote meetings, with proper eye-contact and better spatiality feeling. For this...
Stereo vision system is a practical method for depth gathering of objects and features in an environment. This paper presents the depth evaluation in selected region of disparity mapping for stereo vision mobile robot using block matching algorithm. This region is a reference sight of the stereo camera and stereo vision baseline is based on horizontal configuration. The block matching technique is...
Based on binocular stereoscopic vision, a dynamic volume measure system was designed. 3 digital Ethernet interface cameras captured images of measured object from different angle, then the images were transmitted to host computer through gigabit network switch. Camera calibration of 3 cameras was carried out by Matlab 2008 and image processing software based on OpenGL carried out smoothing filter,...
Camera vibration in recorded video is a problem with both handheld and stationary devices that vibrate due to wind and other external forces. To facilitate the development of a robust stereo system that is immune to such camera vibration, this study aims to study establishes an error model for a stereo measurement system by considering camera vibration. In stereo measurements, we approximate the distribution...
Traditional indoor 3D structural environment modeling algorithms employ schemes such as clustering of dense point clouds for parameterization and identification of the 3D surfaces. RANSAC based plane fitting is one common approach in this regard. Alternatively, extensions to feature based stereo have also been used, mainly focusing on 3D line descriptions, along with techniques such as half-plane...
A team of robots working to explore and map an area may need to share information about landmarks so as to register their local maps and to plan effective exploration strategies. In previous papers we have introduced a combined image and spatial representation for landmarks: terrain spatiograms. We have shown that for manually selected views, terrain spatiograms provide an effective, shared representation...
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