View source for Publications/geraud.00.icpr

{{Publication
| date = 2000-09-01
| authors = Thierry Géraud, Yoann Fabre, Alexandre Duret-Lutz, Dimitri Papadopoulos-Orfanos, Jean-François Mangin
| title = Obtaining genericity for image processing and pattern recognition algorithms
| booktitle = Proceedings of the 15th International Conference on Pattern Recognition (ICPR)
| address = Barcelona, Spain
| volume = 4
| pages = 816 to 819
| publisher = IEEE Computer Society
| project = Olena
| urllrde = 200009-Icpr
| abstract = Algorithm libraries dedicated to image processing and pattern recognition are not reusable; to run an algorithm on particular data, one usually has either to rewrite the algorithm or to manually ``copy, paste, and modify''. This is due to the lack of genericity of the programming paradigm used to implement the libraries. In this paper, we present a recent paradigm that allows algorithms to be written once and for all and to accept input of various types. Moreover, this total reusability can be obtained with a very comprehensive writing and without significant cost at execution, compared to a dedicated algorithm. This new paradigm is called ``generic programming'' and is fully supported by the C++ language. We show how this paradigm can be applied to image processing and pattern recognition routines. The perspective of our work is the creation of a generic library.
| type = inproceedings
| id = geraud.00.icpr
| bibtex = 
@InProceedings<nowiki>{</nowiki>	  geraud.00.icpr,
  author	= <nowiki>{</nowiki>Thierry G\'eraud and Yoann Fabre and Alexandre Duret-Lutz
		  and Dimitri Papadopoulos-Orfanos and Jean-Fran\c<nowiki>{</nowiki>c<nowiki>}</nowiki>ois
		  Mangin<nowiki>}</nowiki>,
  title		= <nowiki>{</nowiki>Obtaining genericity for image processing and pattern
		  recognition algorithms<nowiki>}</nowiki>,
  booktitle	= <nowiki>{</nowiki>Proceedings of the 15th International Conference on
		  Pattern Recognition (ICPR)<nowiki>}</nowiki>,
  year		= 2000,
  month		= sep,
  address	= <nowiki>{</nowiki>Barcelona, Spain<nowiki>}</nowiki>,
  volume	= 4,
  pages		= <nowiki>{</nowiki>816--819<nowiki>}</nowiki>,
  publisher	= <nowiki>{</nowiki>IEEE Computer Society<nowiki>}</nowiki>,
  project	= <nowiki>{</nowiki>Olena<nowiki>}</nowiki>,
  abstract	= <nowiki>{</nowiki>Algorithm libraries dedicated to image processing and
		  pattern recognition are not reusable; to run an algorithm
		  on particular data, one usually has either to rewrite the
		  algorithm or to manually ``copy, paste, and modify''. This
		  is due to the lack of genericity of the programming
		  paradigm used to implement the libraries. In this paper, we
		  present a recent paradigm that allows algorithms to be
		  written once and for all and to accept input of various
		  types. Moreover, this total reusability can be obtained
		  with a very comprehensive writing and without significant
		  cost at execution, compared to a dedicated algorithm. This
		  new paradigm is called ``generic programming'' and is fully
		  supported by the C++ language. We show how this paradigm
		  can be applied to image processing and pattern recognition
		  routines. The perspective of our work is the creation of a
		  generic library.<nowiki>}</nowiki>
<nowiki>}</nowiki>

}}