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ICASSP
2011
IEEE
12 years 8 months ago
Keypoint-based near-duplicate images detection using affine invariant feature and color matching
This paper presents a new keypoint-based approach to nearduplicate images detection. It consists of three steps. Firstly, the keypoints of images are extracted and then matched. S...
Yue Wang, Zujun Hou, Karianto Leman
VISUAL
1999
Springer
13 years 9 months ago
Highly Discriminative Invariant FEatures for Image Matching
Abstract. In this paper, we present novel image-derived, invariant features that accurately capture both the geometric and color properties of an imaged object. These features can ...
Ronald-Bryan O. Alferez, Yuan-Fang Wang
TSP
2008
187views more  TSP 2008»
13 years 5 months ago
Invariant Description and Retrieval of Planar Shapes Using Radon Composite Features
This paper proposes a novel feature-based invariant descriptor termed Radon composite features (RCFs) for planar shapes. Instead of analyzing shapes directly in the spatial domain,...
Yun Wen Chen, Yan Qiu Chen
CVPR
1997
IEEE
13 years 9 months ago
Feature Tracking from an Image Sequence Using Geometric Invariants
In this paper two new feature tracking algorithms are proposed. In the first algorithm, a perspective camera model is used. Making use of the projective inuariant of Barrett, and ...
Hung-Tat Tsui, Zhong-Ying Zhang, Shao-Hua Kong
CVPR
2009
IEEE
15 years 5 days ago
Learning Invariant Features Through Topographic Filter Maps
Several recently-proposed architectures for highperformance object recognition are composed of two main stages: a feature extraction stage that extracts locallyinvariant feature...
Koray Kavukcuoglu, Marc'Aurelio Ranzato, Rob Fergu...