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In this work, we present a new robust method for calibrating the vision system. With the known intrinsic parameters of the camera, we show that its motion parameters, in terms of translation vector and rotation matrix, can be determined automatically from plane-based homography. In this method, a closed-form solution is provided to increase the computational efficiency and arbitrary motion is allowed...
Camera calibration has been studied for many years and there are many methods available to find the parameters precisely. However, most existing methods require information of the known scene points in general three-dimensional positions for the calibration. A simple, geometrically intuitive method is proposed. The intrinsic parameters of the camera and the rotation matrix of the projection matrix...
In this work, the relative pose problem is addressed in our structured light system. Assuming that there is an arbitrary planar structure in the scene, we suggest a method for estimating the rotation matrix and translation vector between the camera and the projector. In this system, the varying focal lengths of the camera are allowed and can be obtained without any further assumptions. Finally, we...
In this paper, we talk about a technique for dynamic calibration of the relative pose in our structured light system with possibly varying intrinsic parameters. Assuming that there is an arbitrary planar structure in the scene, we suggest a two-step method for dynamic calibrating the relative pose between the camera and the projector. First, the translation vector is computed geometrically from the...
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