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» Novel image feature alphabets for object recognition
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ICPR
2004
IEEE
15 years 11 months ago
Convexity Recognition Using Multi-Scale Autoconvolution
This paper introduces a novel measure for object convexity using the recently introduced Multi-Scale Autoconvolution transform. The proposed measure is computationally efficient a...
Esa Rahtu, Mikko Salo, Janne Heikkilä
ICMCS
2005
IEEE
90views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Eye Detection Under Unconstrained Background by the Terrain Feature
Locating eyes in face images is an important step for automatic face analysis and recognition. In this paper, we present a novel approach for eye detection without finding the fa...
Jun Wang, Lijun Yin
CVPR
2009
IEEE
16 years 5 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...
ASPDAC
2006
ACM
173views Hardware» more  ASPDAC 2006»
15 years 1 months ago
Image segmentation and pattern matching based FPGA/ASIC implementation architecture of real-time object tracking
A novel algorithm for object tracking in video pictures, based on image segmentation and pattern matching, as well as its FPGA/ASIC implementation architecture are presented. With ...
K. Yamaoka, Takashi Morimoto, Hidekazu Adachi, Tet...
ICPR
2000
IEEE
15 years 11 months ago
The Multimodal Signature Method: An Efficiency and Sensitivity Study
The multimodal neighbourhood signature (MNS) method has given acceptable results both for the colour-based image retrieval and the object recognition task. Local colour content is...
Dimitri Koubaroulis, Jiri Matas, Josef Kittler