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3D reconstruction is one of the long lasting research topics in computer vision. It is the task of regenerating a model in three-dimensional (3D) space by images taken from the scene. An image-based method for 3D reconstruction based on intersection of planar visual hulls from projective images taken by multiview videos is proposed. Reconstruction can be performed without any further information related...
An algorithm is proposed for automatic geometric correction based on feedback of camera for multi-projector display system to address the problems exist in interactive manual geometric correction. The method is implemented in two steps. The first step performs an approximate correction which does not involve manual interaction. This step establishes geometric relations involving the screen space,...
The Perspective-3-Point problem (P3P) is a classical and fundamental problem in computer vision. All possible solution sets for the P3P problem are from 1 to 4 solutions. In this paper, we propose a very simple way to reduce the ambiguity of numbers of possible solutions in P3P using a planar mirror. For three reference points, if they and their reflections in a planar mirror are both observed, we...
In this paper, a novel method of the 2D Euclidean structure recovery in one view from the projections of N parallel conics is proposed. Without considering the conic dual to the absolute points (CDAP), we transform conic features from the homogeneous coordinates to the lifted coordinates. In the lifted space, the conic features have the similar properties to the point or line features, which especially...
The premise condition of the water jet guide laser cutting wafer based on machine vision is to obtain a precise wafer alignment. However, the wafer alignment accuracy is directly affected by the calibration accuracy of the visual system. In this paper, a method of the small-field-of-view and binocular camera calibration is presented for improving the wafer alignment precision and efficiency. The method...
In order to improve the docking success rate in Autonomous Aerial Refueling(AAR), and reduce the calculation error of drogue position, the camera calibration method has been combined with MeanShift-KalmanFilter (MS-KF) algorithm in this paper to solve the problem of drogue recognition and location. Based on the pin-hole camera model, adaptive corner detection method was applied to pick up feature...
A novel algorithm for 3-Dimension traffic reconstruction by automatic and dynamic camera calibration based on dark channel prior in homogenous fog weather condition is presented in this article. Camera fixed in the middle of road is calibrated by scene distance information implicated in homogenous fog weather condition. Unlike other works in 3-D traffic scene reconstruction, this proposed algorithm...
Rapid or real time dense 3D reconstruction of indoor or outdoor model using mobile phone camera has become an active research topic because of the importance of 3D models in different application like remote monitoring system and visualization. In this paper we propose an application as well a system architecture which captures images using a hand held mobile Smart phone and generate an accurate and...
In this paper a modified technique for 3D camera calibration is applied on a stereo-camera, in order to get accurate depth information of a desired object on the scene. The technique requires observing a scene or a planar pattern with known geometry at some different orientations. A curvature based corner detection technique is applied to detect both fine and coarse features at low computational cost...
In this paper, we present issues that we should consider in using multiple structured light-based RGBD sensors simultaneously for 3D environmental reconstructions. We discuss about interference reduction, calculation of accurate individual pose of the sensors, and a method for adjusting inaccurate depth values reported from the sensors. Results from our ongoing project are also given.
Camera calibration is a significant process not only for photography but also for computer vision. The accuracy and stability of the camera calibration methods directly affect the whole vision system. In the past few years, a series of methods for camera calibration have been researched. In this paper, these methods are reviewed, analyzed and compared for the practical application and future research.
We achieve a precise camera calibration using circular control points by, first, separation of the lens distortion parameters from other camera parameters and computation of the distortion field in advance by using a calibration harp. Second, in order to compensate for perspective bias, which is prone to occur when using a circled pattern, we incorporate conic affine transformation into the minimization...
Compared with the traditional video-based traffic surveillance, the highly-mounted video can surveil a larger range of traffic scene, and the vehicles in the video are rarely occluded. These characters of highly-mounted video-based traffic surveillance system make it more suitable for acquiring the traffic information of a larger traffic area. This paper present a framework of using highly-mounted...
The biggest problem in the contactless biometry recognition system, whose popularity is increasing recently, is image distortion resulting from pose freedom (different angles and distances). In this study, a new approach is presented on the palm stance order to increase success on contactless palmprint verification systems. 3D palm is obtained through the stereo images received from the 2 cameras...
This paper presents a novel method of camera parameters calibration for obstacle distance measurement based on monocular vision. In this method, resolving camera parameters have been decomposed into two linear equation sets, which has significantly reduced computing complexity and improved computing speed. The ideal pinhole imaging model of obstacle has been demonstrated, then the linear equations...
Due to the special working environment, some problems should be taken into account for calibration of vision system used on autonomous surface vehicle (ASV). This paper discussed the relation between calibration parameters obtained from different distances. After a brief introduction to the imaging model of camera and the classical calibration methods, the relation between the distance from calibration...
Previously, estimation of piled logs scattered in wide area is processed via hi-definition fixed camera which is not effective because the camera is attracted to be stolen. Therefore, the method to calculate area of segmented outdoor piled logs is now implemented on a smartphone which consists of an orientation sensor in order to benefit mobile usage and reduce cost of camera installation. The method...
The accuracy of three dimensional vision depends heavily on the accuracy of camera calibration. A major source of calibration error is the system nonlinearity due mainly to optical aberration. Although there are various physical models that have been employed to correct the nonlinear image distortion due to the aberration, it is uncertain practically that which model best fits a given optical system...
In this paper we propose a technical mesh of an unknown 3D scene from two or more images taken by cameras having the constant parameters based on genetic algorithms. The present approach is based on the formulation of a nonlinear cost function from the determination of a relationship between points of the image planes and all parameters of the cameras. The minimization of this function by a genetic...
The concept of coupled line cameras (CLCs) is reviewed as a novel geometric tool in computer vision with special emphasis on the application of perspective reconstruction of an unknown scene rectangle from a given single image taken from an uncalibrated camera. We give real-world examples where the aspect ratio of a scene rectangle can be precisely reconstructed as well as the internal and external...
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