toggle visibility Search & Display Options

Select All    Deselect All
 |   | 
  Record Links
Author Petia Radeva; Enric Marti edit  url
  Title Facial Features Segmentation by Model-Based Snakes Type Conference Article
  Year 1995 Publication International Conference on Computing Analysis and Image Processing Abbreviated Journal  
  Volume Issue Pages  
  Abstract Deformable models have recently been accepted as a standard technique to segment different features in facial images. Despite they give a good approximation of the salient features in a facial image, the resulting shapes of the segmentation process seem somewhat artificial with respect to the natural feature shapes. In this paper we show that active contour models (in particular, rubber snakes) give more close and natural representation of the detected feature shape. Besides, using snakes for facial segmentation frees us from the problem of determination of the numerous weigths of deformable models. Another advantage of rubber snakes is their reduced computational cost. Our experiments using rubber snakes for segmentation of facial snapshots have shown a significant improvement compared to deformable models.  
  Corporate Author Thesis  
  Publisher Place of Publication Bellaterra (Barcelona), Spain Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN ISBN Medium  
  Area Expedition Conference  
  Notes (up) MILAB;IAM Approved no  
  Call Number IAM @ iam @ RAM1995a Serial 1633  
Permanent link to this record
Select All    Deselect All
 |   | 

Save Citations:
Export Records: