An Implicit Surface Modeling Technique Based on a Modular Neural Network Architecture

Manuel CARCENAC

Makale detayları

An Implicit Surface Modeling Technique Based on a Modular Neural Network Architecture

Yazarlar:

Manuel CARCENAC

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2004 Vol.12 Issue 1, pp.11-26

Belge Tipi:

Makale

Yayın Tarihi:

12/2003

Belge Dili:

Türkçe

Document ID (Org No.):

2000744261

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632

Özet:

 

Independently from artificial intelligence applications, an  artificial neural network can be viewed as a powerful tool for  function reconstruction.  Previous papers used this property to model  an implicit surface out of some control points by reconstructing its  underlying scalar field.  Such an approach requests the neural network  to memorize the control points, which has turned problematic for  complex surfaces.  In our paper, we show that this problem can be  efficiently tackled by adapting the architecture of the neural network  to the features compounding the surface: by learning first these  features independently and then blending them gradually together, our  modular architecture readily comprehends the whole surface.  As an  example, we model the surface of an animated human body.  This  approach could eventually help model 3-D textures and be used as well  for more classic applications of neural networks.

 

Independently from artificial intelligence applications, an  artificial neural network can be viewed as a powerful tool for  function reconstruction.  Previous papers used this property to model  an implicit surface out of some control points by reconstructing its  underlying scalar field.  Such an approach requests the neural network  to memorize the control points, which has turned problematic for  complex surfaces.  In our paper, we show that this problem can be  efficiently tackled by adapting the architecture of the neural network  to the features compounding the surface: by learning first these  features independently and then blending them gradually together, our  modular architecture readily comprehends the whole surface.  As an  example, we model the surface of an animated human body.  This  approach could eventually help model 3-D textures and be used as well  for more classic applications of neural networks.

Makale detayları

An Implicit Surface Modeling Technique Based on a Modular Neural Network Architecture

Yazarlar: Manuel CARCENAC

Yayıncı: TUBITAK

Dergi: Turkish Journal of Electrical Engineering and Computer Science 2004 Vol.12 Issue 1, pp.11-26

Belge Tipi: Makale

Yayın Tarihi: 12/2003

Belge Dili: Türkçe

Document ID (Org No.): 2000744261

Sıklık: İki Aylık

eISSN: 1303-6203

pISSN: 1300-0632

Sayı

Yazarlar:

Manuel CARCENAC

Yayıncı:

TUBITAK

Dergi:

Turkish Journal of Electrical Engineering and Computer Science 2004 Vol.12 Issue 1, pp.11-26

Belge Tipi:

Makale

Yayın Tarihi:

12/2003

Belge Dili:

Türkçe

Document ID (Org No.):

2000744261

Sıklık:

İki Aylık

eISSN:

1303-6203

pISSN:

1300-0632