Chord Angle Deviation using Tangent (CADT), an efficient and robust contour-based corner detector

Hossain, Mohammad Asiful; Tushar, Abdul Kawsar

doi:10.1109/icivpr.2017.7890857

Cited by 5 publications

(8 citation statements)

References 11 publications

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“…Zhong and Liao [10] proposed Direct Curvature Scale Space (DCSS). Hossain and Tushar [11] proposed Chord-to-Point Distance Accumulation (CPDA) and improved it with Chord Angle Deviation using Tangent (CADT). However, the localization of corners using the above methods may be poor if the detection is achieved on a large scale.…”

Section: Introductionmentioning

confidence: 99%

A Robust Checkerboard Corner Detection Method for Camera Calibration Based on Improved YOLOX

2022

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Camera calibration plays an important role in various optical measurement and computer vision applications. Accurate calibration parameters of a camera can give a better performance. The key step to camera calibration is to robustly detect feature points (typically in the form of checkerboard corners) in the images captured by the camera. This paper proposes a robust checkerboard corner detection method for camera calibration based on improved YOLOX deep learning network and Harris algorithm. To get high checkerboard corner detection robustness against the images with poor quality (i.e., degradation, including focal blur, heavy noise, extreme poses, and large lens distortions), we first detect the corner candidate areas through the improved YOLOX network which attention mechanism is added. Then, the Harris algorithm is performed on these areas to detect sub-pixel corner points. The proposed method is not only more accurate than the existing methods, but also robust against the types of degradation. The experimental results on different datasets demonstrate its superior robustness, accuracy, and wide effectiveness.

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Section: Introductionmentioning

confidence: 99%

A Robust Checkerboard Corner Detection Method for Camera Calibration Based on Improved YOLOX

2022

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“…To alleviate the aforementioned problems, various chord‐based corner detectors have been proposed by applying other criteria such as geometric relations between the target point and its neighbour points to extract corners (CPDA [19], F‐CPDA [21], CTAR [22], CATT [23], and CADT [24]). For example, Awrangjeb et al.…”

Section: Introductionmentioning

confidence: 99%

An efficient corner detector based on ratio of parallelogram diagonal

Zhang

Liu

Wang

et al. 2021

The Journal of Engineering

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Corner is an important local feature of image which has been widely applied on various computer vision and image processing tasks. Here, a contour-based corner detector is developed by using the ratio of parallelogram diagonals (RPD) to estimate the curve curvature. The main advantage of RPD detector is that only once square root operation is required to calculate the curvature value at each point on a contour while maintaining good noise robustness. The contributions of this paper include the following three aspects: First, the motivation of the proposed RPD curvature is illustrated by means of parallelogram theory; second, a complete corner detector is proposed based on RPD curvature; third, comprehensive experiments are carried out and the experimental results show superior performances of the proposed method against another five strong baselines. In these experiments, RPD runs 100% faster than the prior works. Moreover, a mean accuracy of 83.87% is reported on GCM dataset which is an improvement of about 0.9% and a mean accuracy of 74.21% is reported on CPDA dataset which is an improvement of about 0.2%.

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“…Multiple interest point detectors have been introduced in the literature [4–18], which can be broadly classified into three classes [4]: intensity‐based methods, template‐based methods and contour‐based methods. The intensity method, which considers the corner's self‐dissimilar property [5, 6] detects an interest point in an image directly.…”

Section: Introductionmentioning

confidence: 99%

“…Eigenvector‐based angle estimator is designed to estimates the angle of each point in a contour and realise corner detection [16]. Chord angle deviation using tangent is another contour‐based method for corner detection [17]. Corner detector based on global and local curvature properties is proposed by He and Yung [18].…”

Section: Introductionmentioning

confidence: 99%

Interest point detection method based on multi‐scale Gabor filters

Zhao

Chen

et al. 2019

IET image process

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In this study, a novel interest point detection algorithm which combines image intensity variation and edge contour information is proposed. Firstly, the Canny edge contour detector is used to extract the edge map. Secondly, the imaginary parts of multi‐scale Gabor filters are applied to smooth input image and then the normalised information entropies at various scales can be acquired. Finally, multiplication of different normalised information entropies will be served as a new measure for interest point that can also be used for interest point detection. This method has two advantages: on the one hand, detection accuracy is greatly improved because combination information is adopted to extract interest points including contour shape information, grey variation of edge pixels and their neighbours; on the other hand, non‐interest points can be well inhabited due to multi‐scale product in detector is served as an interest point measure. Also, desirable noise robustness and time efficiency are validated through experiments. Compared with four other state‐of‐art methods, the proposed method shows excellent performance in terms of geometric transformations and localisation accuracy of repeated interest points.

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Chord Angle Deviation using Tangent (CADT), an efficient and robust contour-based corner detector

Cited by 5 publications

References 11 publications

A Robust Checkerboard Corner Detection Method for Camera Calibration Based on Improved YOLOX

A Robust Checkerboard Corner Detection Method for Camera Calibration Based on Improved YOLOX

An efficient corner detector based on ratio of parallelogram diagonal

Interest point detection method based on multi‐scale Gabor filters

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