MicMac – a free, open-source solution for photogrammetry

Rupnik, Ewelina; Daakir, M.; Deseilligny, Marc Pierrot

doi:10.1186/s40965-017-0027-2

Cited by 258 publications

(199 citation statements)

References 11 publications

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“…Micmac differs to Photoscan in the fact that the calibration model can include a range of different distortion models (see Rupnik et al, 2017). Furthermore, the user can stack a nonradial 7 th -order polynomial onto the model to allow for more model parameters.…”

Section: Scenario Photoscanmentioning

confidence: 99%

“…The third stage adds a 7 th -order polynomial model correction to the coefficients and returns the completed calibrated coefficients in .xml format (Tang et al, 2012). This stage is computed separately because estimating so many parameters at once would likely produce poor results (Tournadre et al, 2015;Rupnik et al, 2017). It is preferable to estimate first on a small subset of images with fewer parameters and then estimate the high degree polynomial as a modification of the initial model estimation (Rupnik et al, 2017).…”

Section: Scenario Photoscanmentioning

confidence: 99%

“…This stage is computed separately because estimating so many parameters at once would likely produce poor results (Tournadre et al, 2015;Rupnik et al, 2017). It is preferable to estimate first on a small subset of images with fewer parameters and then estimate the high degree polynomial as a modification of the initial model estimation (Rupnik et al, 2017). Here, the 15x2 refers to a polynomial radial distortion model of 14 parameters for degree 2 general polynoms ( " " + ⋯ + '( '( ).…”

Section: Scenario Photoscanmentioning

confidence: 99%

“…The command line approach often allows for greater control at every stage of processing; however, it usually requires more experience and user knowledge. Two packages were utilised here, the commercial Agisoft® Photoscan (version 1.3.0) and open source MicmacIGN (Rupnik et al, 2017). DSMs were constructed in each, following a set of processing choices.…”

Section: ) Algorithmsmentioning

confidence: 99%

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Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application

Griffiths

Burningham

2018

Progress in Physical Geography: Earth and Environment

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Structure from Motion (SfM) is a tool being increasingly utilised in geosciences for high-resolution three-dimensional mapping of landscapes. However, a number of authors have demonstrated that broad-scale systematic deformations, in the form of ‘doming’ and ‘bowling’, can occur when applied to linear (low-amplitude, feature-limited) topographies. In such contexts, a more rigorous lens calibration and ground control point acquisition process is required, which means that application of SfM to environments such as tidal flats or desert plains can be challenging. Uncertainties in elevation models generated through SfM were investigated here in the context of the low elevation, micro-topographic environment of saltmarsh. Eight digital surface models (DSMs) were generated for a saltmarsh site in the Deben Estuary (Suffolk, UK) using imagery acquired by a low-cost consumer grade unmanned aerial system (UAS). The results provide clear illustration of the systematic bowling effect following self-calibration during bundle adjustment. This was due to poor estimations of distortion parameters in the camera model. Deformation was most pronounced when UAS-GPS data were used for georeferencing. The use of dGPS-determined ground control points improved the DSM, but did not fully mitigate the deformations. By introducing a pre-calibrated model, derived using a typical checkerboard routine, deformation was significantly mitigated. These results were tested in both the commercial Agisoft PhotoScan® and open-source Micmac software. When self-calibration was used, Micmac generated significantly more accurate DSMs because a more complex lens distortion model could be implemented. The results show that when mapping flat topographies, pre-calibration of the camera model out-performs self-calibration. However, if pre-calibration is not possible, a complex distortion model (such as Micmac’s Four model) can be utilised to limit deformation. The results of the software analysis concluded there is no one-size fits all software solution, and therefore customisable open-source systems offer many potential benefits.

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Section: Scenario Photoscanmentioning

confidence: 99%

Section: Scenario Photoscanmentioning

confidence: 99%

Section: Scenario Photoscanmentioning

confidence: 99%

Section: ) Algorithmsmentioning

confidence: 99%

See 2 more Smart Citations

Comparison of pre- and self-calibrated camera calibration models for UAS-derived nadir imagery for a SfM application

Griffiths

Burningham

2018

Progress in Physical Geography: Earth and Environment

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“…does not stop after the bundle adjustment phase); it also generates dense point clouds and orthophotos. The suite works with perspective and push broom images and it allows deformations studies on all types of images (Rupnik, et al, 2017).…”

Section: Micmacmentioning

confidence: 99%

Evaluation of Photogrammetric Block Orientation Using Quality Descriptors From Statistically Filtered Tie Points

Calantropio

Deseilligny²,

Rinaudo

et al. 2018

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Due to the increasing number of low-cost sensors, widely accessible on the market, and because of the supposed granted correctness of the semi-automatic workflow for 3D reconstruction, highly implemented in the recent commercial software, more and more users operate nowadays without following the rigorousness of classical photogrammetric methods. This behaviour often naively leads to 3D products that lacks metric quality assessment. This paper proposes and analyses an approach that gives the users the possibility to preserve the trustworthiness of the metric information inherent in the 3D model, without sacrificing the automation offered by modern photogrammetry software. At the beginning, the importance of Data Quality Assessment is outlined, together with some recall of photogrammetry best practices. With the purpose of guiding the user through a correct pipeline for a certified 3D model reconstruction, an operative workflow is proposed, focusing on the first part of the object reconstruction steps (tie-points extraction, camera calibration, and relative orientation). A new GUI (Graphical User Interface) developed for the open source MicMac suite is then presented, and a sample dataset is used for the evaluation of the photogrammetric block orientation using statistically obtained quality descriptors. The results and the future directions are then presented and discussed.

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