Page 15 -
P. 15

1  Basic Notions










            1.1  Object Recognition


            Object  recognition  is  a  task  performed  daily  by  living  beings  and  is  inherent  to
            their ability and necessity to deal with the environment. It is performed in  the most
            varied  circumstances - navigation  towards food  sources, migration, identification
            of predators, identification of mates, etc. - with remarkable efficiency. Recognizing
            objects  is  considered  here  in  a  broad  cognitive  sense  and  may  consist  of  a  very
            simple  task,  like  when  a  micro-organism  flees  from  an  environment  with
            inadequate  pH,  or  refer  to  tasks  demanding  non-trivial  qualities  of  inference,
            description  and  interpretation, for  instance  when  a  human  has  to  fetch  a  pair  of
            scissors from the second drawer of a cupboard, counting from below.
              The development  of  methods  capable  of  emulating  the  most  varied  forms  of
            object  recognition  has  evolved  along  with  the  need  for  building  "intelligent"
            automated  systems, the  main  trend  of  today's  technology  in  industry  and in  other
            fields of  activity as well. ln these systems objects are represented in a suitable way
            for  the  type  of  processing  they  are  subject  to.  Such  representations  are  called
            patterns. In  what follows we use the words object and pattern interchangeably with
            similar meaning.
              Pattern  Recognition  (PR) is  the  scientific discipline dealing  with  methods  for
            object description  and classikication. Since the early times of computing the design
            and  implementation  of  algorithms  emulating  the  human  ability  to  describe  and
            classify  objects  has  been  found  a  most  intriguing  and  challenging  task.  Pattern
            recognition  is therefore a fertile area of research, with multiple links to many  other
            disciplines, involving professionals  from several areas.
               Applications  of  pattern  recognition  systems and  techniques  are  numerous  and
            cover a broad  scope of  activities. We enumerate only  a few  examples referring  to
            several professional  activities:

               Agriculture:
                           Crop analysis
                           Soil evaluation
               Astronomy:
                           Analysis of telescopic images
                           Automated spectroscopy
               Biology:
                           Automated cytology
                           Properties of chromosomes
                           Genetic studies
   10   11   12   13   14   15   16   17   18   19   20