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ICPR
2006
IEEE
16 years 1 months ago
Background Robust Object Labeling by Voting of Weight-Aggregated Local Features
In this paper, we present a new voting-based object labeling method that is robust to background clutter. The conventional simple voting method shows very poor performance under c...
In-So Kweon, Kuk-Jin Yoon, Sungho Kim
SSIAI
2002
IEEE
15 years 4 months ago
Geometry-Based Automatic Object Localization and 3-D Pose Detection
Given the image of a real-world scene and a polygonal 3-D model of a depicted object, its apparent size, image coordinates, and 3-D orientation are autonomously detected. Based on...
Marcus A. Magnor
101
Voted
TNN
2008
178views more  TNN 2008»
14 years 11 months ago
IMORL: Incremental Multiple-Object Recognition and Localization
This paper proposes an incremental multiple-object recognition and localization (IMORL) method. The objective of IMORL is to adaptively learn multiple interesting objects in an ima...
Haibo He, Sheng Chen
ICPR
2008
IEEE
16 years 1 months ago
Local shape features for object recognition
We present a shape matching algorithm based on the chamfer distance transform which can be easily integrated into the well-known SIFT framework. The shape matching was designed to...
Bernd Heisele, Carlos Rocha
SAC
2010
ACM
15 years 6 months ago
Seal object detection in document images using GHT of local component shapes
Due to noise, overlapped text/signature and multi-oriented nature, seal (stamp) object detection involves a difficult challenge. This paper deals with automatic detection of seal ...
Partha Pratim Roy, Umapada Pal, Josep Lladó...