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A SIFT-based image fingerprinting approach robust to geometric transformations
2009 IEEE International Symposium on Circuits and Systems, 2009Among approaches in implementing Digital Rights Management, image fingerprinting technique is considered to be one of the most attractive solutions, especially in detecting illegal use of image works. The deficiency of the existing image fingerprinting methods is that they can not deal with geometric transformations, such as aspect ratio changes ...
Xinghua Yu, Tiejun Huang 0001
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A KFCM and SIFT Based Matching Approach to Similarity Retrieval of Images
2009 Fifth International Conference on Image and Graphics, 2009Recently, keypoint descriptors such as Scale Invariant Feature Transform (SIFT) have been proved promising in similarity retrieval of images, which adopts matching score as similarity. However, the matching score is easy to be decreased once there are little variances between image details, and hence lead to low retrieval performance. In this paper, we
Pengyi Hao +4 more
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Comparing SIFT and LDA based face recognition approaches
Journal of Discrete Mathematical Sciences and Cryptography, 2008Abstract In this paper we present a face recognition system based on the Scale Invariant Feature Transform (SIFT) image descriptors recently proposed by Lowe [6] and largely used in generic object recognition tasks. We show how SIFT descriptors can be used in a robust face recognition system coupled with some simple image normalization processes and ...
L. CINQUE, IOVANE, Gerardo, E. SANGINETO
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An analytic sifting approach to optimization of LNN reversible circuits
2017 International Conference on Information and Digital Technologies (IDT), 2017In this paper we propose an analytic approach to the variable sifting based on weighting of qubits and gates. The proposed scheme allows to optimally sift gates (multi-control single-target reversible gates) within a linear number of steps of computation and provides in general smaller amount of SWAP gates required to transform a reversible circuit ...
Martin Lukac +2 more
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Image Registration Approach Based on Log-Polar and SIFT
2009 Chinese Conference on Pattern Recognition, 2009To resolve the problem of large angle and large scale image registration, an improved approach combining log-polar and SIFT is proposed. Firstly, the log-polar technique is implemented in order to achieve the preliminary registration result as well as estimate the arbitrary rotations parameters and large scale changes. Secondly, image is segmented into
Jian Liu, Guohua Zhang, Linlin Huang
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An Approach to the Compact and Efficient Visual Codebook Based on SIFT Descriptor
2010The Bag-of-Words (BoW) derived from local keypoints was widely applied in visual information research such as image search, video retrieval, object categorization, and computer vision. Construction of visual codebook is a well-known and predominant method for the representation of BoW.
Zhe Wang +3 more
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A Bayesian approach for object classification based on clusters of SIFT local features
Expert Systems with Applications, 2012Several methods have been presented in the literature that successfully used SIFT features for object identification, as they are reasonably invariant to translation, rotation, scale, illumination and partial occlusion. However, they have poor performance for classification tasks.
Leonardo Chang 0001 +3 more
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A Novel Registration Approach for Mammograms Based on SIFT and Graph Transformation
Applied Mechanics and Materials, 2012Mammogram registration is an important step in the processing of automatic detection of breast cancer. It provides aid to better visualization correspondence on temporal pairs of mammograms. This paper presents a novel algorithm based on SIFT feature and Graph Transformation methods for mammogram registration.
Yang Jun Zhong, Qian Cai
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A Deep Learning Approach for Dynamic Object Understanding Using SIFT
2019 Twelfth International Conference on Ubi-Media Computing (Ubi-Media), 2019Deep learning is a method that is very commonly used in image recognition. We use the SIFT method to extract feature points, so that the machine can detect the objects in the motion images and they can be integrated into the operation of the robot arm to judge and capture specific objects.
Yuan-Tsung Chang, Timothy K. Shih
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A Fully-Automated Zebra Animal Identification Approach Based on SIFT Features
2016Zoonoses (Zoonotic diseases) transferred from animals to human leads to death of many people every year. Controlling and tracking infected animals may save millions of human’s life. One way to help achieve this is to develop an automatic animal identification/recognition systems.
Alaa Tharwat +4 more
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