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We present an interactive framework for rapid 3D reconstruction of objects from sets of photographs. Our framework implements advanced 2D image-based modeling techniques that accurately compute geometries of digital photorealistic 3D models in a rapid and robust method. It is implemented in an application tool to assist users to perform feature detection, matching and meshing. Our system demonstrates...
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...
A machine vision system for robot picking is presented in this paper which is used in robot polishing line. An algorithm for matching work-pieces in a given plane is proposed, which includes camera calibration, image rectification, image preprocessing and image matching. By calibrating the camera, the relationship between the camera and the working plane is established. Experiment results show that...
In order to solve the shortcomings of existing autodiagnostics system of agricultural insect pests and the pest image database, a new algorithm for 3D reconstruction of pests based on binocular stereo vision is proposed in this paper. The whole approach consists of four components. First, a novel image acquisition device based on PS-15 II lamp and bionic cameras is used to collect the pest images,...
Elastic surface deformation of an object is described using depth information obtained at video frame-rate with camera calibration and stereo matching techniques. Two synchronised USB cameras acquire successive image pairs describing the surface deformation. Images are corrected to exclude lens distortion and generate rectified stereo pairs. The depth information is computed with a simplified version...
This paper proposes a new method of pest detection and positioning based on binocular stereo to get the location information of pest, which is used for guiding the robot to spray the pesticides automatically. The production of agricultural cultivation in greenhouse requires of big quantities of pesticides for pest control. Pesticides application is a major component of plant production costs in greenhouse,...
Augmented Virtual Environments (AVE) are very effective in the application of surveillance, in which multiple video streams are projected onto a 3D urban model for better visualization and comprehension of the dynamic scenes. One of the key issues in creating such systems is to estimate the parameters of each camera including the intrinsic parameters and its pose relative to the 3D model. Nowadays,...
In our previous result, a GPS-enabled (global positioning system) device is incorporated into visual surveillance to provide a novel visual tracking service. A person carried such device can be tracked not only on a digital map, but also in the real-time camera image. However, the approach relies on a calibration method with five calibration points for transforming a GPS coordinate into an image coordinate...
Novel methods are proposed for self-calibrating a pure-rotating camera using semidefinite programming (SDP). Key to the approach is the use of the positive-definiteness requirement for the dual image of the absolute conic (DIAC). The problem is couched within a convex optimization framework and convergence to the global optimum is guaranteed. Experiments on various data sets indicate that the proposed...
Camera calibration is one of critical steps in computer vision, also an exhaustive process because substantial human computer interactions are frequently required to deal with the matching problem. In this paper, an automatic matching method of markers for camera calibration is presented based on the local architecture characteristics of a new planar circle pattern, which can be applied to a wide...
A fast and accurate coded marker identification method is presented in this paper. The method combines image processing techniques with prior information of markerpsilas appearance and shape. The deformation of the circle caused by projection is considered so that the marker can be recognized correctly. The experiments demonstrate the robustness and accuracy of our method.
Recovering the three-dimensional (3D) object shape remains an unresolved area of research on the cross-section of computer vision, photogrammetry and bioinformatics. Although various techniques have been developed, the computational complexity and the constraints introduced to overcome the problems have limited their applicability in the real world scenarios. In this paper, we propose a method that...
In this paper, chess-type plane is used as calibration patterns, and the camera is calibrated by utilizing linear camera model with sub-pixel precision, we propose an improved algorithm used to locate the position with the visual information. The new method is based on improved SUSAN detecting and is combined with quick image matching which is used to get the coordinates of the end executor of the...
This paper gives an improved method by increasing precision and decreasing variables for image rectification consistent with Richard I. Hartley's theory and practice of projective rectification (1999), and Loop and Zhang's computing rectifying homographics for stereo vision (1999). This method is based on the camera calibration by Klaus Strobl et al., and DLR CalDc & DLR CalLab, Caltcch University...
In localization technology for a mobile robot, visual locating is widely concerned because of its high precision and large amount of information, et al. Firstly, the paper introduces some popular locating methods and shows the advantages and disadvantages. Secondly, it discusses some technology related to distance measurement in visual locating, such as image segment, feature matching, camera calibration,...
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