5 research outputs found

    An appearance based fast linear pose estimation

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    In this paper, we describe a high speed and multi degree of freedoms (DOFs) pose estimation method for a 3-D object that called Estimation-by-Completion (EbC) method. The most of employed processes are described with linear calculation, thus, whole procedure for each parameter estimation is expressed by a pair inner production, and it used only an arctangent calculation at the final part of the estimation. The accuracy evaluation by 3DOFs pose estimation that includes rotation around the object's vertical and horizontal translations is shown in experiment. We also describe its calculation cost in discussions

    Upgrading eigenspace-based prediction using null space and its application to path prediction

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    This paper proposes a method for an Eigenspace-based prediction of a vector with missing components by modifying a projection of conventional Eigenspace method, and demonstrates the application to the prediction of the path of a walking person. This modification is based on domain-specific knowledge of data, and a linear combination of vectors in the null space of Eigenspace is added so that a cost function of smoothness of path is minimized. Some experimental results on actual paths are shown to demonstrate how the proposed method works

    Image Reproduction based on Texture Image Extension with Traced Drawing for Heavy Damaged Mural Painting

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    AbstractNot only geometric information but also optical information is needed to reproduce ruins using three-dimensional realistic computer graphics as they were when those were founded. In order to give a model a sense of reality, it is common to carry out the texture mapping of the photographed image. However such information can not be acquired from either weathered or partially destroyed ruins. While there are various conventional techniques for image restoration, which can overcome in the case of small missing and cracks, it is difficult to restore such a heavy damaged mural painting well when there is no information from the periphery.In this paper, we propose an image reproduction of a heavy damaged mural painting using a texture information extracted from another mural painting which has actually been restored by conservators and a traced drawing which the specialist guessed and drew. The restored image was used same pigment inks. Based on texture information from the restored image and a segmented traced drawing, we produce a restored image by applying the texture extension to each segment
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