yogeshkulkarni commited on
Commit
168a19a
·
1 Parent(s): 08e30e2

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +32 -0
README.md CHANGED
@@ -1,3 +1,35 @@
 
 
 
 
 
1
  ---
2
  license: apache-2.0
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # MidcurveNN
2
+ Midcurve by Neural Networks
3
+
4
+ ![Midcurve](https://github.com/yogeshhk/MidcurveNN/blob/master/TalksPublications/images/IMG-20191008-WA0001.jpg)
5
+
6
  ---
7
  license: apache-2.0
8
  ---
9
+
10
+ ## Description
11
+ - Goal: Given a 2D closed shape (closed polygon) find its midcurve (polyline, closed or open)
12
+ - Input: set of points or set of connected lines, non-intersecting, simple, convex, closed polygon
13
+ - Output: another set of points or set of connected lines, open/branched polygons possible
14
+
15
+ ## Publications/Talks
16
+ - Vixra paper MidcurveNN: Encoder-Decoder Neural Network for Computing Midcurve of a Thin Polygon, viXra.org e-Print archive, viXra:1904.0429 http://vixra.org/abs/1904.0429
17
+ - ODSC proposal https://confengine.com/odsc-india-2019/proposal/10090/midcurvenn-encoder-decoder-neural-network-for-computing-midcurve-of-a-thin-polygon
18
+ - CAD Conference 2021, Barcelona, pages 223-225 http://www.cad-conference.net/files/CAD21/CAD21_223-225.pdf
19
+ - CAD & Applications 2022 Journal paper 19(6) http://www.cad-journal.net/files/vol_19/CAD_19(6)_2022_1154-1161.pdf
20
+ - Google Developers Dev Library https://devlibrary.withgoogle.com/products/ml/repos/yogeshhk-MidcurveNN
21
+
22
+ ## Citation
23
+ @article{https://doi.org/10.14733/cadaps.2022.1154-1161,
24
+ doi = {https://doi.org/10.14733/cadaps.2022.1154-1161},
25
+ url = {https://www.cad-journal.net/files/vol_19/CAD_19(6)_2022_1154-1161.pdf},
26
+ author = {Kulkarni, Yogesh H.},
27
+ keywords = {: Midcurve, Encoder-Decoder, Neural Network},
28
+ title = {MidcurveNN: Neural Network for Computing Midcurve of a Thin Polygon},
29
+ publisher = {CAD Solutions, LLC},
30
+ journal={Computer-Aided Design & Applications},
31
+ volume={19},
32
+ issue={6},
33
+ pages={1154-1161},
34
+ year = {2022}
35
+ }