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Evaluation of corner extraction schemes using invariance methods

A. Heyden, K. Rohr
1996 Proceedings of 13th International Conference on Pattern Recognition  
We describe a new method to evaluate corner extraction schemes using invariance methods.  ...  The purpose of the paper is to show that invariance methods can effectively be used to make this comparison rather than to make a thorough comparison of different corner extraction schemes.  ...  We also thank Kalle Å ström for interesting discussions of the statistics involved.  ... 
doi:10.1109/icpr.1996.546153 dblp:conf/icpr/HeydenR96 fatcat:lvczzupgnfdsve5qjmxxfbex2m

Towards 3D Object Model Acquisition and Recognition using 3D Affine Invariants

Sven Vinther, Roberto Cipolla
1993 Procedings of the British Machine Vision Conference 1993  
We evaluate the power of 3D affine invariants in an object recognition scheme.  ...  These invariants are actively calculated by the real-time tracking of 2D image features (corners) over an image sequence. This is done optimally by using a Kalman filter.  ...  Several successful 2D object recognition systems have been implemented using invariants [7] . In this paper we evaluate the power of 3D affine invariants in an object recognition scheme.  ... 
doi:10.5244/c.7.37 dblp:conf/bmvc/VintherC93 fatcat:qaqcgytraraxhgqvywgpgaixne

Evaluation of Feature Extraction Techniques for Robust Watermarking [chapter]

Hae-Yeoun Lee, In Koo Kang, Heung-Kyu Lee, Young-Ho Suh
2005 Lecture Notes in Computer Science  
This paper reviews feature extraction techniques that have been used in featurebased watermarking: the Harris corner detector and the Mexican Hat wavelet scale interaction method.  ...  We also evaluate the scale-invariant keypoint extractor in comparison with other techniques in aspect of watermarking.  ...  Evaluation Results This section evaluates three feature extraction methods for robust watermarking: the Harris corner detector (method 1), the Mexican Hat wavelet scale interaction method (method 2), and  ... 
doi:10.1007/11551492_32 fatcat:lvklsqnq6rc4xh6xdwcklfj45y

Geometrically robust image watermarking by sector-shaped partitioning of geometric-invariant regions

Huawei Tian, Yao Zhao, Rongrong Ni, Gang Cao
2009 Optics Express  
Instead of commonly used Harris detector or Mexican hat wavelet method, a more robust corner detector named multi-scale curvature product (MSCP) is adopted to extract salient features in this paper.  ...  A novel sector-shaped partitioning method for the GIRs is designed, which can divide a GIR into several sector discs with the help of the most important corner (MIC).  ...  Robust corners detection The MSCP corner detector [21] in curvature scale space is used to extract the corner of the contour.  ... 
doi:10.1364/oe.17.021819 pmid:19997427 fatcat:arm7tfewizekbmul5gs4ey5sny

An Efficient Feature Extraction Scheme for Mobile Anti-Shake in Augmented Reality

2018 Tehnički Vjesnik  
Meanwhile, the scheme only updates the added corners during mobile shakes, which improves the accuracy of feature extraction.  ...  The scheme directly detects corners to avoid the non-extreme constraint such that the efficiency of feature extraction is improved.  ...  EXPERIMENT EVALUATION SIFT and ORB are classical methods and are related to our work.  ... 
doi:10.17559/tv-20180408120907 fatcat:x4s7m3kmjvbyrbvruinpzli6ny

Viewpoint invariant features from single images using 3D geometry

Yanpeng Cao, John McDonald
2009 2009 Workshop on Applications of Computer Vision (WACV)  
We present an effective scheme to recover 3D planar surfaces using the extracted line segments and their associated vanishing points.  ...  The viewpoint invariant features are then computed on the normalized front-parallel views of the obtained 3D planes.  ...  Among them the SIFT scheme (Scale-invariant feature transform) [10] is the most widely used due to its superior invariance to changes in illumination, viewpoint, scale and orientation.  ... 
doi:10.1109/wacv.2009.5403061 dblp:conf/wacv/CaoM09 fatcat:ih4u474sbjcnrcmuxaalm23jom

Local Invariant Feature Detectors: A Survey

Tinne Tuytelaars, Krystian Mikolajczyk
2007 Foundations and Trends in Computer Graphics and Vision  
This is followed by an overview of the literature over the past four decades organized in different categories of feature extraction methods.  ...  We then provide a more detailed analysis of a selection of methods which had a particularly significant impact on the research field.  ...  Acknowledgments The authors would like to acknowledge support from the Network of Excellence PASCAL and the Flemish Fund for Scientific Research FWO.  ... 
doi:10.1561/0600000017 fatcat:t5e7h3nhtfgozcn2czsuc52r34

Comparative Analysis of Vehicle Make and Model Recognition Techniques

Faiza Ayub Syed, Malik Usman Dilawar, Ali Javed
2014 International Journal of Image Graphics and Signal Processing  
LHNS uses Bayes and K-NN classification approaches for vehicle classification. It extracts information from frontal view of vehicles for vehicle make and model recognition.  ...  The evaluation results highlight the recognition technique with highest accuracy level.  ...  The methods used for feature extraction includes Canny edge detection, Square Mapped Gradients, Harris Corner Strengths, and Locally Normalized Harris Corner Strength (LHNS).  ... 
doi:10.5815/ijigsp.2014.04.08 fatcat:othtgariijhxrlfhgsivu6vmp4

Image Local Features Description through Polynomial Approximation

Fawad, Muhibur Rahman, Muhammad Jamil Khan, Muhammad Adeel Asghar, Yasar Amin, Salman Badnava, Seyed Sajad Mirjavadi
2019 IEEE Access  
The rotation invariance is achieved by aligning the local patch around the Harris corner through the dominant orientation shift algorithm.  ...  The correlation coefficient is used instead of Euclidean distance to improve the matching accuracy.  ...  The detectors like Harris corner [32] are rotation invariant that are used to identify corners.  ... 
doi:10.1109/access.2019.2959326 fatcat:fklqgmfa75egzjxrhggtdy5nmq

Deep Multi-Spectral Registration Using Invariant Descriptor Learning [article]

Nati Ofir, Shai Silberstein, Hila Levi, Dani Rozenbaum, Yosi Keller, Sharon Duvdevani Bar
2018 arXiv   pre-print
Our algorithm detects corners by Harris and matches them by a patch-metric learned on top of CIFAR-10 network descriptor.  ...  In this paper, we introduce a novel deep-learning method to align cross-spectral images. Our approach relies on a learned descriptor which is invariant to different spectra.  ...  Corners Detection. Denote by V the VIS channel image and by N the corresponding NIR image. We use the method described in [9] to extract the corresponding group of corners C v and C n .  ... 
arXiv:1801.05171v6 fatcat:4aqaegtcgbcotf7wdyeom6e4zu

A Local Feature Descriptor Invariant to Complex Illumination Changes

Luo Yong, Chen Yuanzhi
2016 TELKOMNIKA (Telecommunication Computing Electronics and Control)  
The presented descriptor that extracts the histograms of oriented gradients and Uniform Symmetric-Local Binary Pattern (US-LBP) features for each feature point neighborhood in the scale space.  ...  the effectiveness of our method under complex illumination changes.  ...  Acknowledgements This work is supported by the Specialized Research Fund for the Doctoral Program of Higher Education (20130018110001).  ... 
doi:10.12928/telkomnika.v14i2a.4329 fatcat:6yitdangvnaavlezktnb6dq2ru

Content-based image retrieval using visually significant point features

Minakshi Banerjee, Malay K. Kundu, Pradipta Maji
2009 Fuzzy sets and systems (Print)  
The clusters of points around significant curvature regions (high, medium, and weak type) are extracted using a fuzzy set theoretic approach.  ...  The performance of the system is evaluated using different sets of examples from a general purpose image database.  ...  These points are considered as candidate points for the computation of features. The invariant moments of the extracted point sets are used as features for similarity evaluation.  ... 
doi:10.1016/j.fss.2009.02.024 fatcat:7o366m4e5nbfxjlnpiuycvwjsq

A Feature-Based Robust Watermarking Scheme Using Circular Invariant Regions

Munkhbaatar Doyoddorj, Kyung-Hyung Rhee
2013 Journal of Korea Multimedia Society  
This paper addresses a feature-based robust watermarking scheme for digital images using a local invariant features of SURF (Speeded-Up Robust Feature) descriptor.  ...  In general, the feature invariance is exploited to achieve robustness in watermarking schemes, but the leakage of information about hidden watermarks from publicly known locations and sizes of features  ...  In [17] , the authors proposed a method similar to that presented in [15] , in which the adaptive Harris corner detector is used to extract feature points and the Delaunay Tessellation-based triangle  ... 
doi:10.9717/kmms.2013.16.5.591 fatcat:7vo5ilpin5hvjh4us6kpgztsly


O. G. Ajayi
2020 The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences  
These descriptors affect the speed of feature extraction and the measure of extracted conjugate features, which affects the processing speed and overall accuracy of the registration scheme.  ...  Automatic detection and extraction of corresponding features is very crucial in the development of an automatic image registration algorithm.  ...  They are also referred to as feature descriptors which are described also as the methods that are used in the computation of abstractions of the information on an image pair, which is used in making informed  ... 
doi:10.5194/isprs-archives-xliii-b3-2020-559-2020 fatcat:p2lerwcupbaw3fr6wqlefj5m2e

Blur Invariant Features For Exposing Region Duplication Forgery Using ANMS And Local Phase Quantization

Diaa Uliyan, Mohammed A. Fadhil Al-Husainy, Ahmad Mousse Altamimi
2018 Informatica (Ljubljana, Tiskana izd.)  
Second, local interest points are exposed by extracting Adaptive non-maximal suppression (ANMS) from dividing blocks in the segmented image to detect such corners of objects.  ...  They can be exposed based on Scale-Invariant Features Transform (SIFT) algorithm. Here, we provide an image forgery detection technique by using local interest points.  ...  Acknowledgment The authors are grateful to the Middle East University, Amman, Jordan for the financial support granted to cover the publication fee of this research article.  ... 
doi:10.31449/inf.v42i4.1914 fatcat:updy5bpurvh3tmmp2ciuw45nqy
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