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» Robust Hash for Detecting and Localizing Image Tampering
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96
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ICIAR
2010
Springer
15 years 2 months ago
Adaptation of SIFT Features for Robust Face Recognition
Abstract. The Scale Invariant Feature Transform (SIFT) is an algorithm used to detect and describe scale-, translation- and rotation-invariant local features in images. The origina...
Janez Krizaj, Vitomir Struc, Nikola Pavesic
MVA
1998
151views Computer Vision» more  MVA 1998»
14 years 11 months ago
Gray Level Corner Detection
In this paper the analysis of gray level corner detection has been carried out. Performances of various cornerness measures are discussed with respect to four performances of robu...
Han Wang, Zhiqiang Zheng, Eam Khwang Teoh
CVPR
2005
IEEE
15 years 11 months ago
A Statistical Field Model for Pedestrian Detection
This paper presents a new statistical model for detecting and tracking deformable objects such as pedestrians, where large shape variations induced by local shape deformation can ...
Ying Wu, Ting Yu, Gang Hua
88
Voted
TIP
2008
144views more  TIP 2008»
14 years 9 months ago
Incremental Refinement of Image Salient-Point Detection
Low-level image analysis systems typically detect "points of interest", i.e., areas of natural images that contain corners or edges. Most of the robust and computationall...
Yiannis Andreopoulos, Ioannis Patras
ICIP
2008
IEEE
15 years 11 months ago
Local-spectrum-based distinction between handwritten and machine-printed characters
In this paper, we propose a method to distinguish between handwritten and machine-printed characters with no need to locate character or text-line positions. We transform a local ...
Jumpei Koyama, Akira Hirose, Masahiro Kato