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In the frame of its earth observation missions, CNES created a library called QPEC, and one of its launcher called Medicis. QPEC /\udMedicis is a sub-pixel two-dimensional stereo matching algorithm that works on an image pair. This tool is a block matching\udalgorithm, which means that it is based on a local method. Moreover it does not regularize the results found. It proposes several\udmatching costs, such as the Zero mean Normalised Cross-Correlation or statistical measures (the Mutual Information being one of\udthem), and different match validation flags. QPEC / Medicis is able to compute a two-dimensional dense disparity map with a subpixel\udprecision. Hence, it is more versatile than disparity estimation methods found in computer vision literature, which often assume\udan epipolar geometry.\ud  \udCNES uses Medicis, among other applications, during the in-orbit image quality commissioning of earth observation satellites. For\udinstance the Pléiades-HR 1A & 1B and the Sentinel-2 geometric calibrations are based on this block matching algorithm. Over the\udyears, it has become a common tool in ground segments for in-flight monitoring purposes. For these two kinds of applications, the\udtwo-dimensional search and the local sub-pixel measure without regularization can be essential. This tool is also used to generate\udautomatic digital elevation models, for which it was not initially dedicated.\ud  \udThis paper deals with the QPEC / Medicis algorithm. It also presents some of its CNES applications (in-orbit commissioning, in\udflight monitoring or digital elevation model generation). Medicis software is distributed outside the CNES as well. This paper finally\uddescribes some of these external applications using Medicis, such as ground displacement measurement, or intra-oral scanner in the\uddental domain

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

2D Sub-Pixel Disparity Measurement Using QPEC / Medicis