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» Object Detection using a Max-Margin Hough Transform
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BMCV
2000
Springer
13 years 11 months ago
A New Line Segment Grouping Method for Finding Globally Optimal Line Segments
In this paper we propose a new method for extracting line segments from edge images. Our method basically follows a line segment grouping approach. This approach has many advantage...
Jeong-Hun Jang, Ki-Sang Hong
ICCV
2011
IEEE
12 years 7 months ago
Hough-based Tracking of Non-Rigid Objects
Online learning has shown to be successful in tracking of previously unknown objects. However, most approaches are limited to a bounding-box representation with fixed aspect rati...
Martin Godec, Peter M. Roth, Horst Bischof
ICPR
2002
IEEE
14 years 8 months ago
Detection of Faces of Various Directions in Complex Backgrounds
This paper describes the detection of faces in complex backgrounds where their sizes, positions and directions are arbitrary. We detect the faces by extracting face components suc...
Yuichi Araki, Nobutaka Shimada, Yoshiaki Shirai
ICIP
2000
IEEE
14 years 9 months ago
Integrated Compression and Linear Feature Detection in the Wavelet Domain
In many Earth observation missions, a large amount of data is collected by the on-board sensors, and must be transmitted to ground through a channel with limited capacity; in this...
Enrico Magli, Gabriella Olmo
CVPR
2009
IEEE
15 years 2 months ago
Recognition using Regions
This paper presents a unified framework for object detection, segmentation, and classification using regions. Region features are appealing in this context because: (1) they enco...
Chunhui Gu, Joseph J. Lim, Pablo Arbelaez, Jitendr...