MicMac – a free, open-source solution for photogrammetry

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.

[1]  Ingemar J. Cox,et al.  A maximum-flow formulation of the N-camera stereo correspondence problem , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[2]  D K Smith,et al.  Numerical Optimization , 2001, J. Oper. Res. Soc..

[3]  M. Pierrot-Deseilligny,et al.  A MULTIRESOLUTION AND OPTIMIZATION-BASED IMAGE MATCHING APPROACH : AN APPLICATION TO SURFACE RECONSTRUCTION FROM SPOT 5-HRS STEREO IMAGERY , 2006 .

[4]  Steven M. Seitz,et al.  Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..

[5]  H. Hirschmüller Stereo Processing by Semiglobal Matching and Mutual Information , 2008, IEEE Trans. Pattern Anal. Mach. Intell..

[6]  Carl Olsson,et al.  Non-sequential structure from motion , 2011, 2011 IEEE International Conference on Computer Vision Workshops (ICCV Workshops).

[7]  Richard Szeliski,et al.  Computer Vision - Algorithms and Applications , 2011, Texts in Computer Science.

[8]  Matthijs C. Dorst Distinctive Image Features from Scale-Invariant Keypoints , 2011 .

[9]  M. Pierrot Deseilligny,et al.  APERO, AN OPEN SOURCE BUNDLE ADJUSMENT SOFTWARE FOR AUTOMATIC CALIBRATION AND ORIENTATION OF SET OF IMAGES , 2012 .

[10]  Pascal Monasse,et al.  Global Fusion of Relative Motions for Robust, Accurate and Scalable Structure from Motion , 2013, ICCV.

[11]  Clive S. Fraser,et al.  Editorial: Computer Vision and Photogrammetry: Interaction or Introspection? , 2015 .

[12]  Andrea Fusiello,et al.  Hierarchical structure-and-motion recovery from uncalibrated images , 2015, Comput. Vis. Image Underst..

[13]  M. Yang,et al.  Global robust image rotation from combined weighted averaging , 2017 .