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» Neural network model for completing occluded contours
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NN
2010
Springer
143views Neural Networks» more  NN 2010»
13 years 3 months ago
Neural network model for completing occluded contours
— This paper proposes a neural network model capable of completing partly occluded contours. The model is a hierarchical multi-layered network. Using the responses of bend-extrac...
Kunihiko Fukushima
IJON
2002
120views more  IJON 2002»
13 years 4 months ago
The recognition and analysis of animate objects using neural networks and active contour models
: In this paper we describe a method for tracking walking humans in the visual field. Active contour models are used to track moving objects in a sequence of images. The resulting ...
Ken Tabb, Neil Davey, Rod Adams, Stella J. George
ECCV
2000
Springer
14 years 6 months ago
Euclidean Group Invariant Computation of Stochastic Completion Fields Using Shiftable-Twistable Functions
We describe a method for computing the likelihood that a completion joining two contour fragments passes through any given position and orientation in the image plane, that is, a m...
John W. Zweck, Lance R. Williams
CVIU
2004
143views more  CVIU 2004»
13 years 4 months ago
Shape matching of partially occluded curves invariant under projective transformation
This paper describes a method to identify partially occluded shapes which are randomly oriented in 3D space. The goal is to match the object contour present in an image with an ob...
Carlos Orrite, José Elías Herrero Ja...
NN
2007
Springer
115views Neural Networks» more  NN 2007»
13 years 4 months ago
CONFIGR: A vision-based model for long-range figure completion
Gail A. Carpenter, Chaitanya Sai Gaddam, Ennio Min...