Abstract
The publication familiarizes the reader with MicMac - a free, open-source photogrammetric software for 3D reconstruction. A brief history of the tool, its organisation and unique features vis-à-vis other software tools are in the highlight. The essential algorithmic aspects of the structure from motion and image dense matching problems are discussed from the implementation and the user’s viewpoints.
Highlights
Photogrammetry is the art, science, and technology of obtaining geometric information on the 3-dimensional shape and orientation of objects from images and other imaging sensors
The several milestones leading to this progress are the automated interest points detection [2], the Structure from Motion (SfM) algorithms capable of reconstructing scenes from sets of unordered image collections [3, 4], and the dense image matching techniques delivering surface models of resolution equal to the pixel size on the ground [5, 6]
MicMac is an open-source project for photogrammetry
Summary
Photogrammetry is the art, science, and technology of obtaining geometric information on the 3-dimensional shape and orientation of objects from images and other imaging sensors. There exists no direct algorithm able to compute orientation parameters globally consistent with a number of images (generally n > 3). The algorithmic aspects The photogrammetric workflow encompasses the passage from images, through the estimation of the orientation parameters, finalizing with a 3D surface model.
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