%0 Conference Paper %1 Teller-ICEC-95 %A Teller, Astro %A Veloso, Manuela %B International Conference on Evolutionary Computation %C Perth, Australia %D 1995 %I IEEE Press %K algorithms, computer genetic memory, programming, vision %P 608--613 %T Algorithm Evolution for Face Recognition: What Makes a Picture Difficult %U http://citeseer.ist.psu.edu/558916.html %X One of the classic problems in computer vision is the face recognition problem. In general this problem can take on a wide variety of forms, but the most common face recognition problem is ``Who is this a picture of?'' Evolution computation has, in the past, been applied indirectly to this problem through techniques like learning Neural Networks. This paper introduces a Genetic Programming style approach to learning algorithms that directly investigate face images and are coordinated into a face recognition system. Through a series of experiments, we will show that evolved algorithms can accomplish the face recognition task. We will also highlight several pitfalls and misconceptions surrounding face recognition as a learning problem.

@inproceedings{Teller-ICEC-95, abstract = {One of the classic problems in computer vision is the face recognition problem. In general this problem can take on a wide variety of forms, but the most common face recognition problem is ``Who is this a picture of?'' Evolution computation has, in the past, been applied indirectly to this problem through techniques like learning Neural Networks. This paper introduces a Genetic Programming style approach to learning algorithms that directly investigate face images and are coordinated into a face recognition system. Through a series of experiments, we will show that evolved algorithms can accomplish the face recognition task. We will also highlight several pitfalls and misconceptions surrounding face recognition as a learning problem.}, added-at = {2008-06-19T17:46:40.000+0200}, address = {Perth, Australia}, author = {Teller, Astro and Veloso, Manuela}, biburl = {https://www.bibsonomy.org/bibtex/2edb0c7204639fa3e7a1cc132ab2582d0/brazovayeye}, booktitle = {International Conference on Evolutionary Computation}, interhash = {fcb82f781ac9a92536e8323405611ddc}, intrahash = {edb0c7204639fa3e7a1cc132ab2582d0}, keywords = {algorithms, computer genetic memory, programming, vision}, month = {1--3 December}, notes = {ICEC-95 PADO conference details at http://ciips.ee.uwa.edu.au/~dorota/icnn95.html}, pages = {608--613}, publisher = {IEEE Press}, publisher_address = {Piscataway, NJ, USA}, size = {6 pages}, timestamp = {2008-06-19T17:53:01.000+0200}, title = {Algorithm Evolution for Face Recognition: What Makes a Picture Difficult}, url = {http://citeseer.ist.psu.edu/558916.html}, year = 1995 }