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To solve the problem of occlusion for robot grasping, a novel method is proposed, by which the robot can grasp an occluded target object accurately. In this paper, the principles of binocular vision, camera calibration, stereo rectification and stereo matching are described. By utilizing the stereo-vision algorithm, robots can obtain the three-dimensional information of objects. For accurate grasping,...
By position estimation of the binocular vision, a robot can accurately obtain the three-dimensional information of an object. The algorithms about camera calibration and stereo match are described in this paper in detail. Not only that, two kinds of camera calibration methods are compared and analyzed in this paper. The method for robot grasping is proved to be effective from experiments. Research...
This article utilizes near infrared reflectance spectroscopy (NIRS) technology to quantificationally analyze protein content of chocolate, using genetic support vector regression (GSVR) to build spectrum calibration model. GSVR first adopts genetic algorithm to select the efficiency wavelength regions, and then applies linear support vector regression (SVR) to establish a calibration model with the...
In this paper we present the use of non-contact near infrared spectroscopy (NIRS) technology employing a diffuse reflection fiber optic probe for discrimination of chocolate varieties. 120 samples of 8 typical varieties of chocolate are selected randomly, and the samples are scanned in diffuse reflectance mode by a cooled InGaAs array spectrometer (950-1700 nm). Partial least squares (PLS) method...
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