Facial Recognition Using Neural Networks over GPGPU

dc.creatorBalarini,Juan Pablo
dc.date2012-12-01
dc.date.accessioned2023-09-25T18:35:14Z
dc.date.available2023-09-25T18:35:14Z
dc.identifierhttp://www.scielo.edu.uy/scielo.php?script=sci_arttext&pid=S0717-50002012000300007
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/8838439
dc.descriptionThis article introduces a parallel neural network approach implemented over Graphic Processing Units (GPU) to solve a facial recognition problem, which consists in deciding where the face of a person in a certain image is pointing. The proposed method uses the parallel capabilities of GPU in order to train and evaluate a neural network used to solve the abovementioned problem. The experimental evaluation demonstrates that a significant reduction on computing times can be obtained allowing solving large instances in reasonable time. Speedup greater than 8 is achieved when contrasted with a sequential implementation and classification rate superior to 85 % is also obtained.
dc.formattext/html
dc.languageen
dc.publisherCentro Latinoamericano de Estudios en Informática
dc.rightsinfo:eu-repo/semantics/openAccess
dc.sourceCLEI Electronic Journal v.15 n.3 2012
dc.subjectFace recognition
dc.subjectNeural Networks
dc.subjectParallel Computing
dc.subjectGPGPU
dc.titleFacial Recognition Using Neural Networks over GPGPU
dc.typeinfo:eu-repo/semantics/article


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