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This paper focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning. First, many features reflecting road characteristics are extracted, which consist of the ratio of bright regions, the direction consistency of edges and local binary patterns. Then these features are input into a learning container, and AdaBoost...
Biped robot is a subclass belongs to legged or walking robots. Most of researches about biped robot focus on stability, which of course the hardest point in this study at present, and they try their best to achieve the goal of stability by ignoring other functions, such as validity, reliability and so on. Therefore, we focus on the speed of response to cover this draw, and make biped robot much more...
In order to improve the positioning accuracy of the Terrain Aided Navigation (TAN) system and the applicability of the aided navigation algorithm to terrain matching problem, a novel framework based on Gaussian sum particle filter(GSPF) is proposed. With the establishment of the nonlinear non-Gaussian navigation system model, the GSPF algorithm is used to rectify the position and the velocity errors...
Pan-tilt-zoom (PTZ) cameras have been widely used for providing flexible view selection and a wider observation range. In order to utilize these cameras for a meaning application, it is necessary to calibrate cameras. However, with camera pan, tilt and zoom, the previous calibrated camera parameters often vary, which are required to be updated automatically. In this paper, we present a novel self-recalibtion...
Industrial camera is an important electric device in the machine vision, which serves as an interface between the computers and the real world. There is an increasing demand on the usage of high-speed, miniaturization, portable, low-power, and smart industrial camera. In this paper, we novelly design and develop such a kind of camera for capturing and processing color images from the real world industrial...
A novel approach for matching points from two views in a camera-calibrated system is presented in this paper. The interest points are selected using epipolar gradient features. Then three local region invariant descriptors, together with similarity measures are proposed. These descriptors are constructed from binary-threshold gray histogram, sample statistics of the edge pointspsila epipolar gradients,...
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