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Recently, a model-based depth estimation technique has been proposed, which estimates surface model parameters by means of Hooke-Jeeves optimization. Assuming a parametric surface model, the parameters best explaining the perspective changes of the surface between different views are estimated. This constitutes a fitting of models directly into stereo images, which is in contrast to the usual approach...
The computation of stereoscopic depth is an important field of computer vision. Although a large variety of algorithms has been developed, the traditional correlation-based versions of these algorithms are prevalent. This is mainly due to easy implementation and handling but also to the linear computational complexity, as compared to more elaborated algorithms based on diffusion processes, graph-cut...
The paper is to propose a framework to qualitatively and quantitatively evaluate five of state-of-the-art over-segment approaches. Moreover upon over-segments evaluation, an efficient approach is developed for dense stereo matching through robust higher-order MRFs and graph cut based optimization, which combines the conventional data and smoothness terms with the robust higher-order potential term...
This paper presents a method of binocular vision obstacle detection based on SIFT feature matching algorithm. First, a model of depth measurement based on stereo vision is built, it does not require resume the three-dimensional coordinate of spatial point under the world coordinate system. According to the characteristics of the model, we proposed the binocular stereo vision calibration method based...
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...
The aim of this paper is to propose the technology to allow people to control robots by means of everyday gestures without using sensors or controllers. The hand pose estimation we propose reduces the number of image features per data set to 64, which makes the construction of a large-scale database possible. This has also made it possible to estimate the 3D hand poses of unspecified users with individual...
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...
Medical diagnosis is the major challenge faced by the medical experts. Highly specialized tools are necessary to assist the experts in diagnosing the diseases. Gestational Diabetes Mellitus is a condition in pregnant women which increases the blood sugar levels. It complicates the pregnancy by affecting the placental growth. The ultrasound screening of placenta in the initial stages of gestation helps...
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...
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...
Depth generation is the key technology in the 3DTV system. Due to the demands for accuracy and real-time execution, local methods are more suitable, but the challenge is to decide an appropriate window for each pixel. We propose a novel local method, which constructs the support windows adaptively only based on the intensity, and the process has no relation with disparities. This is the main difference...
In this paper, an objective assessment model based on three-component weighted structural similarity is presented for stereoscopic image. Since different distortions affect details of stereoscopic image differently, the image is classified into three kinds of regions including edge, smooth and texture regions so that different weights are associated to different regions to assess distorted stereoscopic...
In this paper, we propose a 3DTV system supporting delivery of full HD resolution 3DTV contents over HFC network. So far, we have used a 3DTV system supporting only frame-compatible format of 3DTV contents in order to provide 3DTV broadcasting service over HFC network. Using the frame-compatible format has an advantage being compatible with the current digital cable broadcasting system when transmitting...
This paper describes an FPGA-based system capable of computing the distance of objects in a scene to two stereo cameras, and use that information to isolate objects in the foreground. For this purpose, four disparity maps are generated in real time, according to different similarity metrics and sweep directions, and then merged into a single foreground-versus-background bitmap. Our main contribution...
Dependable 3D perception modules are essential for safe operation of autonomous systems. Therefore, we present a highly compact stereo vision system that gets along without a dedicated processing platform, having the DSPs integrated in the cameras. To enable the computation of dense and accurate depth maps, we implement a Sparse Census Transform, reducing the complexity of the stereo matching procedure...
In this paper, an overview of stereo vision, stereo image processing is introduced as well as a method of obstacle avoidance and navigation based on stereo vision for mobile robot is provided. Making use of 3-d stereo reconstruction, the recognition of visible terrain in front of the mobile robot is solved for successive obstacle avoidance. The area-based stereo reconstruction algorithm which combines...
We are focused on how to describe a common image point distinctively, make its descriptor concise and invariant to general image transformations. We use neighborhood pixel characteristics, including HSV color space, Gaussian-weighted gradient magnitudes and orientations, sampled in specific window around interest point to enhance the description. The enhanced point descriptor (EPD) is a covariance...
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...
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