TY - JOUR
T1 - Object recognition by indexing using neural networks
AU - Villela, Patricia Rayón
AU - Azuela, J. Humberto Sossa
N1 - Funding Information:
This research was supported by the CIC-IPN, the ITESM Campus Ciudad de Mexico and the CONACyT.
PY - 2000
Y1 - 2000
N2 - In this paper a new Distributed Neural Network Architecture (DNNA) for object recognition is presented. The proposed architecture is tested in two scenarios: occluded planar object recognition and face recognition. The DNNA is composed by several classifiers, each one with a standard ART2 Neural Network (ART2-NN) connected to a Memory Map (MM), a set of logical AND gates, an evidence register, and a set of comparators. In a first step, objects are described by a set of sub-feature vectors (SFV), during the training stage, each SFV is then fed to an ART2-NN to train it and to build its corresponding Memory Map (MM). During a second phase of indexing a new image possibly containing the object is used to retrieve from the previously constructed MM the list of candidate objects that are in the image. A selection threshold is finally used to select from this list the objects that most resemble the objects on the image.
AB - In this paper a new Distributed Neural Network Architecture (DNNA) for object recognition is presented. The proposed architecture is tested in two scenarios: occluded planar object recognition and face recognition. The DNNA is composed by several classifiers, each one with a standard ART2 Neural Network (ART2-NN) connected to a Memory Map (MM), a set of logical AND gates, an evidence register, and a set of comparators. In a first step, objects are described by a set of sub-feature vectors (SFV), during the training stage, each SFV is then fed to an ART2-NN to train it and to build its corresponding Memory Map (MM). During a second phase of indexing a new image possibly containing the object is used to retrieve from the previously constructed MM the list of candidate objects that are in the image. A selection threshold is finally used to select from this list the objects that most resemble the objects on the image.
UR - http://www.scopus.com/inward/record.url?scp=34147112412&partnerID=8YFLogxK
M3 - Artículo
AN - SCOPUS:34147112412
SN - 1051-4651
VL - 15
SP - 1001
EP - 1004
JO - Proceedings - International Conference on Pattern Recognition
JF - Proceedings - International Conference on Pattern Recognition
IS - 2
ER -