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» Highly Discriminative Invariant FEatures for Image Matching
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158
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IJRR
2002
218views more  IJRR 2002»
15 years 1 months ago
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks
A key component of a mobile robot system is the ability to localize itself accurately and, simultaneously, to build a map of the environment. Most of the existing algorithms are b...
Stephen Se, David G. Lowe, James J. Little
ICIP
2007
IEEE
16 years 3 months ago
New Features to Identify Computer Generated Images
Discrimination of computer generated images from real images is becoming more and more important. In this paper, we propose the use of new features to distinguish computer generat...
Ahmet Emir Dirik, Sevinc Bayram, Husrev T. Sencar,...
ECCV
2008
Springer
16 years 3 months ago
Image Feature Extraction Using Gradient Local Auto-Correlations
In this paper, we propose a method for extracting image features which utilizes 2 nd order statistics, i.e., spatial and orientational auto-correlations of local gradients. It enab...
Takumi Kobayashi, Nobuyuki Otsu
168
Voted
IVC
2006
259views more  IVC 2006»
15 years 1 months ago
Object detection using spatial histogram features
In this paper, we propose an object detection approach using spatial histogram features. As spatial histograms consist of marginal distributions of an image over local patches, th...
Hongming Zhang, Wen Gao, Xilin Chen, Debin Zhao
ICIAP
1999
ACM
15 years 6 months ago
Learning Visual Operators from Examples: A New Paradigm in Image Processing
This paper presents a general strategy for designing efficient visual operators. The approach is highly task oriented and what constitutes the relevant information is defined by...
Hans Knutsson, Magnus Borga