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Robust Detection of Corners and Corner-line Links in Images

Andres Solis Montero, Milos Stojmenovic, Amiya Nayak
2010 2010 10th IEEE International Conference on Computer and Information Technology  
We define corner points in an image as the intersections among detected straight line segments, and propose an algorithm that detects corners from such a definition.  ...  Detected corners are linked via line segments that define them. Such an output of the corner detection algorithm is a novel concept.  ...  Each corner is linked to at least another corner in the image. Such an output of a corner detection algorithm is a novel concept in computer vision and image processing.  ... 
doi:10.1109/cit.2010.109 dblp:conf/IEEEcit/MonteroSN10 fatcat:mden2svamnhgvdq4jvctra4x3q

Concavity detection using a binary mask-based approach [chapter]

Jean-Michel Jolion
1998 Lecture Notes in Computer Science  
link ninety degree angle straight line between two identical masks common points between two corners consistent orientation robustness two identical neighbor masks inclusion in a connected  ...  Corner Detection Definitions and Hypotheses In the digital case, concavity is not a locally detectable property . However, using edge mask labels, it is possible to define a concept of corner.  ... 
doi:10.1007/bfb0033248 fatcat:pcw5bhqgezekraiddiscdcwtve

Corner Detection Using Difference Chain Code as Curvature

Neeta Nain, Vijay Laxmi, Bhavitavya Bhadviya, Arpita Gopal
2007 2007 Third International IEEE Conference on Signal-Image Technologies and Internet-Based System  
Detection of discontinuity plays an important role in image registration, comparison, segmentation, time sequence analysis and object recognition.  ...  In this paper we address some aspects of analyzing the content of an image. A point is classified as a corner where there are abrupt changes in the curvature of the curve.  ...  In down sampling, a number of links may merge into one, and in up-sampling one link may cause a string of many links to be generated.  ... 
doi:10.1109/sitis.2007.118 dblp:conf/sitis/NainLBG07 fatcat:aji77y4lejfurgrx43tknz4qlq

Automatic detection of underwater chain links using a forward-looking sonar

Natalia Hurtos, Narcis Palomeras, Sharad Nagappa, Joaquim Salvi
2013 2013 MTS/IEEE OCEANS - Bergen  
Experiments with sonar images of a real chain are reported, showing a high percentage of correct link detections with good accuracy while potentially keeping real-time capabilities. 978-1-4799-0002-2/13  ...  We exploit the high frame-rate of the sonar to improve, by registration, the signal-to-noise ratio of the individual sonar frames and to cluster the local detections over time to increase robustness.  ...  Therefore, the first and key stage consists in developing a robust link detection algorithm from sonar images, which is the focus of the present paper.  ... 
doi:10.1109/oceans-bergen.2013.6608106 fatcat:r4kolnmukbevhhwkh32msmkvwe

Step-by-step pipeline processing approach for line segment detection

Chunyan Shao, Qinghai Ding, Haibo Luo, Zheng Chang, Chi Zhang, Tianjiang Zheng
2017 IET Image Processing  
can remove the unwanted smoothing of the Canny detector in most line detections.  ...  The Harris corner detector is applied to catch regions of line segments for the purpose of simulating the composition of sketching and achieving a sense of unity within the picture.  ...  T and τ, respectively: Fig. 7 7 Line detection under different corner distances (a) Test image, (b) Line detection results of a when the corner distance is 5, (c) Line detection results of a when the  ... 
doi:10.1049/iet-ipr.2016.0493 fatcat:gfsvrnmbxjfmnn3xxt4dkdvet4

Combined Precise Extraction and Topology of Points, Lines and Curves in Man-Made Environments [chapter]

Dominik Wolters, Reinhard Koch
2017 Lecture Notes in Computer Science  
In order to get points, the intersections between the geometric primitives are calculated. The method allows a precise and at the same time robust detection of the image features.  ...  This article presents a novel method for a combined extraction of points, lines and arcs in images. Geometric primitives are fitted into extracted edge pixels.  ...  Corner points generated by the intersecting of line segments have a higher localization accuracy than classical point features and a greater robustness against noise.  ... 
doi:10.1007/978-3-319-66709-6_10 fatcat:ndfnspf74jgepjxo3p24z4ftx4


2003 International journal of pattern recognition and artificial intelligence  
The image to be analyzed is transformed into a graph a with object corners as vertices and connecting contours as edges. Image corners are determined using a robust multiscale corner detector.  ...  Edges are constructed by line-following between corners based on evidence from the multiscale Gabor wavelet transform. Model matching is done by finding subgraph isomorphisms in the image graph.  ...  Globally the algorithm, illustrated in Figure 1 , contains 3 stages: (1) detecting corners and local edge maxima by thresholding (lines 2-3); the initial stage of a two dimensional layer of linking cells  ... 
doi:10.1142/s0218001403002848 fatcat:uepweunw5rhwfhm7av677m6vny

Detecting Distinguished Regions by Saliency [chapter]

Friedrich Fraundorfer, Horst Bischof
2003 Lecture Notes in Computer Science  
The proposed method detects scale localized salient regions in an image by a saliency operator which uses the concept of visual attention.  ...  A method for detecting and characterizing local image regions based on saliency is introduced.  ...  The method links the subsequent steps of detection and description of interest regions by using a common descriptor.  ... 
doi:10.1007/3-540-45103-x_29 fatcat:don26k2ja5fw5nnvwoklb6wuo4

Automatic checkerboard detection for camera calibration using self-correlation

Yizhen Yan, Peng Yang, Lei Yan, Jie Wan, Yanbiao Sun, Kevin Tansey
2018 Journal of Electronic Imaging (JEI)  
An automatic checkerboard detection method that can detect multiple checkerboards in a single image is proposed.  ...  Five public datasets are used in the experiments to evaluate the method. Results show high detection rates and a short average runtime of the proposed method.  ...  Acknowledgments We thank the anonymous reviewers for their help in the improvement of the paper.  ... 
doi:10.1117/1.jei.27.3.033014 fatcat:i2df4yaot5flljovenxoca7pqy

Vision for Robotics

D. Kragic, M. Vincze
2009 Foundations and Trends in Robotics  
Line is vertical in the image • Color Edge Projected Integration of Cues: -Pre-selection of relevant Edgels -Local cues: • Image: Intensity, color, (texture) • Model: Region belonging to object  ...  Edge detection: all edges ∑ = + = cues i rechts i rechts links i links H w H w e 1 , , Image: intensity, colour Adaptation: μ und σ Model: object side Y T1 T2 2.  ... 
doi:10.1561/2300000001 fatcat:qe52wh5bizd75l73uw4gmw7k5e

ROCHADE: Robust Checkerboard Advanced Detection for Camera Calibration [chapter]

Simon Placht, Peter Fürsattel, Etienne Assoumou Mengue, Hannes Hofmann, Christian Schaller, Michael Balda, Elli Angelopoulou
2014 Lecture Notes in Computer Science  
Quantitative comparisons to OpenCV's checkerboard detector show that the proposed method detects up to 80% more checkerboards and detects corner points more accurately, even under strong perspective distortion  ...  Finally, we investigate how the accuracy of a checkerboard detector affects the overall calibration result in multi-camera setups.  ...  This publication was supported by the German Federal Ministry of Education and Research as part of the Spitzencluster Medical Valley program 13GW0029A.  ... 
doi:10.1007/978-3-319-10593-2_50 fatcat:dlsibc7ikvdrvnzmfo7jskv2ji

Robust Corner Detection by Image-Based Direct Curvature Field Estimation for Mobile Robot Navigation

Sungho Kim
2012 International Journal of Advanced Robotic Systems  
The proposed image-based direct curvature estimation can overcome limitations in both the inaccurate structural corner detection of the Harris corner detector (intensitybased) and the unstable corner detection  ...  Intensity-based corner detectors, such as the Harris corner, can detect corners in noisy environments, but have inaccurate corner positions and miss the corners of obtuse angles.  ...  In general, the impHarris corner detector is robust to textured images due to image filtering, but offers poor detection of obtuse corners and shows shifted corner positions ( Figure 4 ).  ... 
doi:10.5772/53872 fatcat:gwhx5ym27be7flc2zlxtlwel7a

COP: a new corner detector

Sun Cheol Bae, In So Kweon, Choong Don Yoo
2002 Pattern Recognition Letters  
Fast, accurate and noise-robust corner detection is accomplished with the COP. Ó  ...  This paper presents a new, simple and effective low level processing method to detect corners.  ...  Acknowledgements This research is supported by BK21 and PO-SCO.  ... 
doi:10.1016/s0167-8655(02)00083-1 fatcat:pv5cuawos5bnfm42w7jxgq3z2y

Feature Point Detection By Combining Advantages Of Intensity-Based Approach And Edge-Based Approach

Sungho Kim, Chaehoon Park, Yukyung Choi, Soon Kwon, In So Kweon
2012 Zenodo  
The proposed image-based direct curvature estimation can overcome limitations in both inaccurate structural corner detection of the Harris corner detector (intensity-based) and the unstable corner detection  ...  Intensity-based corner detectors such as the Harris corner can detect corners in noisy environments but has inaccurate corner position and misses the corners of obtuse angles.  ...  In general, the impHarris corner detector is robust to textured images due to image filtering but offers poor detection of obtuse corners and shows shifted corner positions (Fig. 3) .  ... 
doi:10.5281/zenodo.1077948 fatcat:5op5qnvkebbjtemn7r7j4oz5q4

An algebraic model for fast corner detection

A Willis, Yunfeng Sui
2009 2009 IEEE 12th International Conference on Computer Vision  
must lie close to one of the two intersecting lines, an important aspect to stable corner detection.  ...  The key benefits to this approach are: (1) performance (in space and time); since no image pyramid (space) and no edge-linking (time) is required and (2) compactness; the estimated model includes the corner  ...  Scale invariant versions of corner detectors include [8, 10] and [11] which provide increasingly sophisticated models for corner detection that are affine-invariant and robust to illumination changes  ... 
doi:10.1109/iccv.2009.5459443 dblp:conf/iccv/WillisS09 fatcat:666ws4uojfhwxoo67k2hoqgouy
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