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PCM
2004
Springer
127views Multimedia» more  PCM 2004»
14 years 2 months ago
Using a Non-prior Training Active Feature Model
This paper presents a feature point tracking algorithm using optical flow under the non-prior training active feature model (NPTAFM) framework. The proposed algorithm mainly focus...
Sangjin Kim, Jinyoung Kang, Jeongho Shin, Seongwon...
ARC
2008
Springer
141views Hardware» more  ARC 2008»
13 years 11 months ago
A Parallel Hardware Architecture for Image Feature Detection
Abstract. This paper presents a real time parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm. This architect...
Vanderlei Bonato, Eduardo Marques, George A. Const...
ICDAR
2009
IEEE
14 years 3 months ago
Document Image Retrieval with Local Feature Sequences
In recent years, many document image retrieval algorithms have been proposed. However, most of the current approaches either need good quality images or depend on the page layout ...
Jilin Li, Zhi-Gang Fan, Yadong Wu, Ning Le
PKDD
2009
Springer
88views Data Mining» more  PKDD 2009»
14 years 3 months ago
Feature Weighting Using Margin and Radius Based Error Bound Optimization in SVMs
The Support Vector Machine error bound is a function of the margin and radius. Standard SVM algorithms maximize the margin within a given feature space, therefore the radius is fi...
Huyen Do, Alexandros Kalousis, Melanie Hilario
MIRAGE
2007
Springer
14 years 3 months ago
Feature Points Detection Using Combined Character Along Principal Orientation
Abstract. Most existing methods for determining localization of the image feature point are still inefficient in terms of the precision. In the paper, we propose a new algorithm fo...
Sicong Yue, Qing Wang, Rongchun Zhao