A baseline correction tool using the method of Bézier has been developed to permit the drawing of curves in a manner that allows full control of the line curvatures by the user. The basic concepts and principle of the Bézier algorithm are explained as well as the modifications that were made to take into account the limitations imposed by the treatment of spectral data. The application of this particular curve drawing routine to an existing baseline correction module offers facilities and extended capabilities that typical polynomial methods using least-squares fitted lines cannot attain. The examples of applications that are given demonstrate how this method can be performed, as well as its efficiency.
This paper proposes a 3D panoramic shape reconstruction method based on an uncalibrated stereovision system (USS) composed of five cameras circularly located around the object to be analysed. First, some interesting points are detected from markers placed on the object such that they are visible by two successive cameras of the USS. These points are then matched on both images acquired by a couple of successive cameras. This process is repeated for all the couples of cameras. Second, by using an evolutionary algorithm, the depth values of the different interesting points are calculated. A comparison with a traditional method based on calibrated cameras validates the accuracy of 3D information provided by the proposed method. Finally, by combining all the interesting points, a panoramic view of the object is obtained.
In this paper, we propose an original evolutionary-based method for 3D panoramic reconstruction from an uncalibrated stereovision system (USS). The USS is composed of five cameras located on an arc of a circle around the object to be analyzed. The main originality of this work concerns the process of the calculation of the 3D information. Actually, with our method, 3D coordinates are directly obtained without any prior estimation of the fundamental matrix. The method operates in two steps. Firstly, points of interest are detected in pairs of images acquired by two consecutive cameras of the USS are matched. And secondly, using evolutionary algorithms, we jointly compute the transformed matrix between the two images and the respective depth of the points of interest. The accuracy of the proposed method is validated through a comparison with the depth values obtained using a traditional method. In order to perform 3D panoramic object reconstruction, the process is repeated for all the pairs of consecutive cameras. The 3D points thus obtained throughout the successive steps of the process which correspond to the different points of interest, are combined in order to obtain a set of 3D points all around the analyzed object.Keywords Panoramic 3D reconstruction . Evolutionary algorithm . Uncalibrated system
IntroductionPanoramic 3D reconstruction is a recent area of research which began about 10 years ago. It is used in various domains such as medicine [32], security [30], virtual reality or robotics Multimed Tools Appl (2012) 57:565-586
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