[skip-ci] mor info about other software

docs/paper/paper.bib

@@ -146,6 +146,26 @@
   doi={10.1180/002646100549760}
 }
 
+@Article{Landauer2018,
+author="Landauer, AK
+and Patel, M
+and Henann, DL
+and Franck, C",
+title="A q-Factor-Based Digital Image Correlation Algorithm (qDIC) for Resolving Finite Deformations with Degenerate Speckle Patterns",
+journal="Experimental Mechanics",
+year="2018",
+issn="1741-2765",
+doi="10.1007/s11340-018-0377-4",
+url="https://doi.org/10.1007/s11340-018-0377-4"
+}
+
+@article{lucasKanade,
+  title={An iterative image registration technique with an application to stereo vision},
+  author={Lucas, Bruce D and Kanade, Takeo and others},
+  year={1981},
+  publisher={Vancouver, British Columbia}
+}
+
 @article{mendoza2019complete,
   title={Complete mechanical regularization applied to digital image and volume correlation},
   author={Mendoza, Arturo and Neggers, Jan and Hild, Fran{\c{c}}ois and Roux, St{\'e}phane},

docs/paper/paper.md

@@ -210,21 +210,27 @@ There are three main components to the documentation:
 
 - A series of "Tutorials" with longer and more detailed explanations are available, which cover the mathematical/mechanics background of the functions provided, and some longer examples of using the provided tools.
 
-# Other software available
+<!-- # Other software available -->
+# State of the field
+
 
 Other software packages exist for material science analysis, such as the popular commercial software Avizo whose closedness makes it unsuitable inspection and therefore trust.
 Other open-source packages could be ITK [@schroeder2003itk] which remains quite a complex ecosystem, or ImageJ/Fiji [@imagej2] which is not fully 3D and not perfectly suited to scripting or running remotely.
 
-On the specific topic of Digital Image/Volume Correlation, a number of options exist (this is by far not an exhaustive list):
+On the specific topic of Digital Image/Volume Correlation, many pieces of software are available for 2D, surface and 3D image correlation.
+The `spam.DIC.register` correlation engine uses a well-known mathematical framework dating back to [@lucasKanade], but distinguishes itself by being non-rigid, 2/3D compatible, clearly documented and relatvely fast.
+The discrete and multimodal image correlation are much more unique.
+A number of other image correlation codes exist (this is by far not an exhaustive list):
+
+- CMV and CMV\_3D:   Developed at Laboratoire Navier [@bornert2004mesure]
+- Correlli:   Developed by LMT Cachan, shared with colleagues but not open source [@hild2008correliq4]. Contains a cutting edge integrated DVC global approach
+- FIDVC and qDIC:     Open source code 2D running on Matlab [@bar2014fast, @Landauer2018] from The Franck Lab which is suitable for measuring large transformations
+- TomoWarp2: Developed by some of the co-authors [@tudisco2017tomowarp2]. This software has a graphical interface for facilitating correlation but is technically limited to displacements/rotations, and has a slow line-search in rotation space
+- muDIC:     Pure Python toolkit, limited to 2D images [@muDIC] but has a fully function global approach
+- UFreckles: Graphical Matlab code [@ufreckles] working on 2D, surface and 3D images with a global approach
+- StrainMaster: Closed-source software for surface and 3D image correlation from LaVision
+- VIC3D:     High-speed closed-source software for surface imaging from Correlated Solutions
 
-- CMV\_3D:   Developed at Laboratoire Navier [@bornert2004mesure]
-- Correli:   Developed by LMT Cachan, shared with colleagues but not open source [@hild2008correliq4]
-- FIDVC:     Open source code running on Matlab [@bar2014fast]
-- LaVision:  Closed-source software
-- TomoWarp2: Developed by some of the co-authors [@tudisco2017tomowarp2], limited to displacements/rotations, slow line-search in rotation space
-- muDIC:     Pure Python toolkit, limited to 2D images [@muDIC]
-- UFreckles  Graphical Matlab code [@ufreckles]
-- VIC3D:     Closed-source software
 
 # Getting `spam`