Summary
The aim of the presented work was the development of a tracking algorithm for a single camera in a 3D scene with known objects. The input of the algorithm is a sequence of images, and the main assumption was the apriori knowledge of relative location of model objects - colourful boxes. The scene model was used to obtain a precise estimation of the camera’s position. The algorithm consists of two steps: matching of model image feature points and then fitting of the model image to the actual scene image. The results of the presented study were used to estimate the motion of a stereo camera setup in the indoor scene, allowing for verification of the model-free navigation algorithm.
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Pełczyński, P. (2011). Model Based Estimation of Camera Position in 3D Scene. In: Choraś, R.S. (eds) Image Processing and Communications Challenges 3. Advances in Intelligent and Soft Computing, vol 102. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23154-4_21
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DOI: https://doi.org/10.1007/978-3-642-23154-4_21
Publisher Name: Springer, Berlin, Heidelberg
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