Book ChapterDOI
CenSurE: Center Surround Extremas for Realtime Feature Detection and Matching
Motilal Agrawal,Kurt Konolige,Morten Rufus Blas +2 more
- pp 102-115
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TLDR
A suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors, yet have better computational characteristics than other scale-space detectors, and are capable of real-time implementation are introduced.Abstract:
We explore the suitability of different feature detectors for the task of image registration, and in particular for visual odometry, using two criteria: stability (persistence across viewpoint change) and accuracy (consistent localization across viewpoint change). In addition to the now-standard SIFT, SURF, FAST, and Harris detectors, we introduce a suite of scale-invariant center-surround detectors (CenSurE) that outperform the other detectors, yet have better computational characteristics than other scale-space detectors, and are capable of real-time implementation.read more
Citations
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Journal ArticleDOI
Target detection using features for sonar images
TL;DR: This work focuses on the area of feature extraction-based detection, which does not rely on information about the shape of the target, towards a robust framework for target detection for a variety of seabed structures and target types.
Journal ArticleDOI
KAZE-SAR: SAR Image Registration Using KAZE Detector and Modified SURF Descriptor for Tackling Speckle Noise
TL;DR: In this article , the KAZE algorithm with a modified version of speeded-up robust features (SURF) descriptor is used for SAR image registration, which uses discrete stochastic second order nonlinear partial differential equations (PDEs) to model the SAR image's edge structure.
Journal ArticleDOI
Assessment of ship position estimation accuracy based on radar navigation mark echoes identified in an Electronic Navigational Chart
TL;DR: Assessment of the accuracy of ship position determination based on observations of radar echoes of navigation marks identified in an Electronic Navigational Chart provides a premise to state that the method can be adopted for autonomous navigation systems which are alternatives to Global Navigation Satellite System.
Journal ArticleDOI
A fast technique to detect copy-move image forgery with reflection and non-affine transformation attacks
Anuja Dixit,Soumen Bag +1 more
TL;DR: Experimental results show that proposed forgery detection technique can effectively detect forged images containing reflection and non-affine transformation with geometrical attacks and shows robustness against erosion, dilation, RGB color addition, zoom motion blur, JPEG compression, spread noise addition, and multiple copy-move attacks.
Proceedings ArticleDOI
Detailed analysis and evaluation of keypoint extraction methods
TL;DR: Some existing keypoint extraction algorithms, including Harris, SIFT, SURF and CenSurE, are analyzed and evaluated based on images containing view, scale and rotation changes to investigate repeatability, matching ratio, accuracy, characteristic distribution and computational efficiency.
References
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Journal ArticleDOI
Distinctive Image Features from Scale-Invariant Keypoints
TL;DR: This paper presents a method for extracting distinctive invariant features from images that can be used to perform reliable matching between different views of an object or scene and can robustly identify objects among clutter and occlusion while achieving near real-time performance.
Journal ArticleDOI
Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography
TL;DR: New results are derived on the minimum number of landmarks needed to obtain a solution, and algorithms are presented for computing these minimum-landmark solutions in closed form that provide the basis for an automatic system that can solve the Location Determination Problem under difficult viewing.
Proceedings ArticleDOI
A Combined Corner and Edge Detector
Chris Harris,Mike Stephens +1 more
TL;DR: The problem the authors are addressing in Alvey Project MMI149 is that of using computer vision to understand the unconstrained 3D world, in which the viewed scenes will in general contain too wide a diversity of objects for topdown recognition techniques to work.
Book ChapterDOI
SURF: speeded up robust features
TL;DR: A novel scale- and rotation-invariant interest point detector and descriptor, coined SURF (Speeded Up Robust Features), which approximates or even outperforms previously proposed schemes with respect to repeatability, distinctiveness, and robustness, yet can be computed and compared much faster.
Proceedings ArticleDOI
Robust real-time face detection
Paul A. Viola,Michael Jones +1 more
TL;DR: A new image representation called the “Integral Image” is introduced which allows the features used by the detector to be computed very quickly and a method for combining classifiers in a “cascade” which allows background regions of the image to be quickly discarded while spending more computation on promising face-like regions.