In this paper, we propose a practical object recognition system which consists of two functional modules. The first is object extraction module using a range image, and the second is a precise position measurement module using a grayscale intensity image. Both high-reliability and high-accuracy can be achieved by effective image integration. We also propose an idea of stereo vision with random-...

A PC-based interactive image processing system for 3-D analyses of stereo images of a scanning electron microscope (SEM) using an advanced feature-based stereo model is described. Integration between the global and qualitative human vision and the local and quantitative computer vision makes it possible to greatly reduce the computational load and to highly improve the reliability of stereo cor...

In this paper, we analyze the key factors underlying the implementation, evaluation, and optimization of image processing and computer vision algorithms on embedded GPU using OpenGL ES 2.0 shader model. First, we present the characteristics of the embedded GPU and its inherent advantage when compared to embedded CPU. Additionally, we propose techniques to achieve increased performance with opti...

This article describes an algorithm for continuous self-calibration of stereo cameras and highlights results obtained in [1]. The contribution of this work is a detailed analysis of the influence of individual camera parameters on three-dimensional reconstruction and a theoretically consistent presentation of all processing steps required for stereo self-calibration. Different geometric constra...

We present a method for extracting depth information from a rectified image pair. Our approach focuses on the first stage of many stereo algorithms: the matching cost computation. We approach the problem by learning a similarity measure on small image patches using a convolutional neural network. Training is carried out in a supervised manner by constructing a binary classification data set wit...

background: one of the challenges of pet/mri combined systems is to derive an attenuation map to correct the pet image. for that, the pseudo-ct image could be used to correct the attenuation. until now, most existing scientific researches construct this pseudo-ct image using the registration techniques. however, these techniques suffer from the local minima of the non-rigid deformation energy f...

Stereo correspondence computes disparity map needed by many high-level computer vision tasks. Recently local stereo approaches show their ability matching global while keeping efficiency. But it still deserves further research for higher performance. In this paper, we propose a fast edge-aware cost aggregation strategy. It constructs 1D support window based on spatial and gradient information o...

We study the problem of shape reconstruction from stereo images based on a weighted area minimization process of a depth function. As a simple example we present an eecient shape reconstruction from computer generated autostereograms. A minimal surface area based correlation is applied to accurately reconstruct the surface structure embedded rst in one autostereogram image, and next in two or m...

The fundamental drawback of current stereo and multi-view display techniques is the necessity to perform multi-pass rendering (one pass for each separate view) and subsequent image composition-andmasking for generating multi-stereo views. Thus the rendering time increases in general linearly with the number of rendered views. An increase in frame-rate can be achieved by sub-resolution rendering...