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ICPR
2008
IEEE
14 years 10 months ago
Accelerating active contour algorithms with the Gradient Diffusion Field
Active contours were proposed by Kass et al. as a way to represent the contours of an image. Although the method is simple, one of its shortcomings is its inability to converge in...
Willie Kiser, Pradeep Sen, Chris Musial

Publication
4052views
15 years 10 months ago
On the Extraction of Curve Skeletons using Gradient Vector Flow
In this paper, we propose a new variational framework for computing continuous curve skeletons from discrete objects that are suitable for structural shape representation. We have...
M. Sabry Hassouna, Aly A. Farag
ICASSP
2011
IEEE
13 years 20 days ago
Using residual vector quantization for image content classification
Multistage residual vector quantizers (RVQ) with optimal direct sum decoder codebooks have been successfully designed and implemented for data compression. Due to its multistage s...
Syed Irteza Ali Khan, Christopher F. Barnes
ICPR
2002
IEEE
14 years 10 months ago
Illumination Invariant Segmentation of Spatio-Temporal Images by Spatio-Temporal Markov Random Field Model
For many years, object tracking in images has suffered from the problems of occlusions and illumination effects. In order to resolve occlusion problems, we have been proposing the...
Shunsuke Kamijo, Katsushi Ikeuchi, Masao Sakauchi
AAAI
2011
12 years 9 months ago
Fast Newton-CG Method for Batch Learning of Conditional Random Fields
We propose a fast batch learning method for linearchain Conditional Random Fields (CRFs) based on Newton-CG methods. Newton-CG methods are a variant of Newton method for high-dime...
Yuta Tsuboi, Yuya Unno, Hisashi Kashima, Naoaki Ok...