Dynamic sign language recognition based on convolutional neural networks and texture maps

E Escobedo, L Ramirez… - 2019 32nd SIBGRAPI …, 2019 - ieeexplore.ieee.org
Sign language recognition (SLR) is a very challenging task due to the complexity of learning
or developing descriptors to represent its primary parameters (location, movement, and …
被引用次数：13 相关文章

Dynamic Sign Language Recognition Based on Convolutional Neural Networks and Texture Maps

E Escobedo, L Ramirez, G Camara - 2019 32nd SIBGRAPI …, 2019 - computer.org
Sign language recognition (SLR) is a very challenging task due to the complexity of learning
or developing descriptors to represent its primary parameters (location, movement, and …
[PDF] inpe.br

[PDF][PDF] Dynamic Sign Language Recognition Based on Convolutional Neural Networks and Texture Maps

E Escobedo, L Ramirez, G Camara - sibgrapi.sid.inpe.br
Sign language recognition (SLR) is a very challenging task due to the complexity of learning
or developing descriptors to represent its primary parameters (location, movement, and …
[PDF] researchgate.net

[PDF][PDF] Dynamic Sign Language Recognition Based on Convolutional Neural Networks and Texture Maps

E Escobedo, L Ramirez, G Camara - researchgate.net
Sign language recognition (SLR) is a very challenging task due to the complexity of learning
or developing descriptors to represent its primary parameters (location, movement, and …
[PDF] inpe.br

[PDF][PDF] Dynamic Sign Language Recognition Based on Convolutional Neural Networks and Texture Maps

E Escobedo, L Ramirez, G Camara - sibgrapi.sid.inpe.br
Sign language recognition (SLR) is a very challenging task due to the complexity of learning
or developing descriptors to represent its primary parameters (location, movement, and …