Multiple descent cost competitive learning and data-compressed 3-D morphing

Multiple descent cost competitive learning is applied to data-compressed texture generation for 3D image processing and graphics. This learning method organizes itself by generating two types of feature maps: the grouping feature map and the weight vector feature map, which can both change regional...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Matsuyama, Y., Shimazu, T., Matsuo, G., Arisaka, T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Computer graphics Costs Data compression Data engineering Image generation Image processing Learning systems Shape Terminology Vector quantization
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!