Surface Reconstruction Method Based on a Growing Self-Organizing Map
نویسندگان
چکیده
A Maximum-likelihood connectionist model for unsupervised learning over graphical domains
منابع مشابه
Smooth Seamless Surface Construction Based on Conformal Self-organizing Map
This paper presents a method to construct a smooth seamless conformal surface for the genus-0 manifold. The method is developed for the conformal self-organizing map [10]. The constructed surface is both piecewise smooth and continuous. The mapping between the model surface and the sphere surface is one-to-one and onto. We show experiments in surface reconstruction and texture mapping.
متن کاملAdaptive Reconstruction of Freeform Objects with 3D SOM Neural Network Grids
Reverse engineering is an important process in CAD systems today. Yet several open problems lead to a bottleneck in the reverse engineering process. First, because the topology of the object to be reconstructed is unknown, point connectivity relations are undefined. Second, the fitted surface must satisfy global and local shape preservation criteria that are undefined explicitly. In reverse eng...
متن کاملConstrained Self-organizing Map for the Reconstruction of the Brain Lateral Ventricle
This paper presents a constrained self-organizing map (SOM) model for the visualization and reconstruction of the human brain lateral ventricle. The SOM model is a widely used method to approximate large and complex high dimensional data and reduce the data dimension for advanced applications. In our applications, the SOM model is used to deform a spherical network field to a 3D crooked brain ...
متن کاملLandforms identification using neural network-self organizing map and SRTM data
During an 11 days mission in February 2000 the Shuttle Radar Topography Mission (SRTM) collected data over 80% of the Earth's land surface, for all areas between 60 degrees N and 56 degrees S latitude. Since SRTM data became available, many studies utilized them for application in topography and morphometric landscape analysis. Exploiting SRTM data for recognition and extraction of topographic ...
متن کاملImage Compression using Growing Self Organizing Map Algorithm
This paper presents a neural network based technique that may be applied to image compression. Conventional techniques such as Huffman coding and the Shannon Fano method, LZ Method, Run Length Method, LZ-77 are more recent methods for the compression of data. A traditional approach to reduce the large amount of data would be to discard some data redundancy and introduce some noise after reconst...
متن کامل