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Texture reconstruction techniques generally suffer from the errors inkeyframe poses. We present a non-iterative method for seamless texturereconstruction of a given 3D scene. Our method finds the best texture alignmentin a single shot using a global optimisation framework. First, we automaticallyselect the best keyframe to texture each face of the mesh. This leads to adecomposition of the mesh into small groups of connected faces associated to asame keyframe. We call such groups fragments. Then, we propose a geometry-awarematching technique between the 3D keypoints extracted around the fragmentborders, where the matching zone is controlled by the margin size. Theseconstraints lead to a least squares (LS) model for finding the optimalalignment. Finally, visual seams are further reduced by applying a fast colourcorrection. In contrast to pixel-wise methods, we find the optimal alignment bysolving a sparse system of linear equations, which is very fast andnon-iterative. Experimental results demonstrate low computational complexityand outperformance compared to other alignment methods.

Efficient texture mapping via a non-iterative global texture alignment