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This paper presented the application of stereo vision system for robot arm guidance application. The stereo vision system comprises the process of camera calibration, image rectification, stereo correspondences and 3D reconstruction. Camera calibration process was carried out to permit the extraction of camera intrinsic and extrinsic parameters for the image rectification purposes. Next, the image...
Visual maps of the seafloor should ideally provide the ability to measure individual features of interest in real units. Two-dimensional photomosaics cannot provide this capability without making assumptions that often fail over 3-D terrain, and are generally used for visualization, but not for measurement. Full 3-D structure can be recovered using stereo vision, structure from motion (SFM), or simultaneous...
Response to the demand of autonomous obstacle avoidance for mobile robot during operation, a obstacle avoidance system based on binocular stereo vision for mobile robot is developed. The system was developed with Matlab and stereo vision software “the Point Grey's Triclops SDK library”. With the techniques of camera calibration, stereo image matching, three-dimensional reconstruction, the three-dimensional...
Image keypoints are broadly used in robotics for different purposes, ranging from recognition to 3D reconstruction, passing by SLAM and visual servoing. Robust keypoint matching across different views is problematic because of the relative motion between camera and scene that causes significant changes in feature appearance. The problem can be partially overcome by using state-of-the-art methods for...
We aim to perform robust and fast vision-based localization using a pre-existing large map of the scene. A key step in localization is associating the features extracted from the image with the map elements at the current location. Although the problem of data association has greatly benefited from recent advances in appearance-based matching methods, less attention has been paid to the effective...
This paper proposes a new 3D reconstruction method of on-machine workepieces images based on projective rectifications. A set of monocular stereo system which uses a five-dimensional manipulator carrying a CCD camera was established on the NC milling machine. Projective rectification was used to stereo match in virtue of dimension reduction of match search. 3D reconstruction of the on-machine workpiece...
Our goal is that the robot learns specific objects (not object category) from images. The major problem here is how to separate the target object from the background. We create a scene model from an image sequence. The scene model contains both the target object and background. We separate the target object from the background by matching the scene model and training images having different backgrounds...
In this paper, a unique dense 3D shape reconstruction method featuring GPS/DR coupled omni-direction multi-baseline motion stereo system is presented. The epipolar plane equation between two omni-directional vision images is computed from the GPS/DR's position and posture information. Then, the precise epipolar lines can be obtained robustly by projecting the intersection line between the epipolar...
Applications as visual navigation of mobile robot with image sensor and mixed/augmented reality have been investigated actively. Many of these techniques require the localization of human or robot. In this report, we propose a novel method for estimating the position of a camera by using edge and feature point information in time-series of images. The technique can be applied to the indoor environment...
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