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Quaternion Harris For Multispectral Keypoint Detection
2020 IEEE International Conference on Image Processing (ICIP), 2020We present a new keypoint detection method that generalizes Harris corners for multispectral images by considering the input as a quaternionic matrix. Standard keypoint detectors run on scalar-valued inputs, neglecting input multimodality and potentially missing highly distinctive features. The proposed detector uses information from all channel inputs
Giorgos Sfikas +2 more
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Phase Invariant Keypoint Detection
2007 15th International Conference on Digital Signal Processing, 2007This paper introduces extensions to the complex wavelet keypoint detection paper [1], Keypoints are generated by finding local peaks in accumulated, interpolated maps of the product of magnitudes of directional complex filter responses, as in earlier work.
Anil Anthony Bharath, Nick G. Kingsbury
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Detection of general edges and keypoints
1992A computational framework for extracting (1) edges with an arbitrary profile function and (2) keypoints such as corners, vertices and terminations is presented. Using oriented filters with even and odd symmetry we combine their convolution outputs to oriented energy resulting in a unified representation of edges, lines and combinations thereof.
Lukas Rosenthaler +3 more
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Learning to Detect Good 3D Keypoints
International Journal of Computer Vision, 2017The established approach to 3D keypoint detection consists in defining effective handcrafted saliency functions based on geometric cues with the aim of maximizing keypoint repeatability. Differently, the idea behind our work is to learn a descriptor-specific keypoint detector so as to optimize the end-to-end performance of the feature matching pipeline.
Alessio Tonioni +4 more
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An Affordance Keypoint Detection Network for Robot Manipulation
IEEE Robotics and Automation Letters, 2021This letter investigates the addition of keypoint detections to a deep network affordance segmentation pipeline. The intent is to better interpret the functionality of object parts from a manipulation perspective. While affordance segmentation does provide label information about the potential use of object parts, it lacks predictions on the physical ...
Ruinian Xu +4 more
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Descriptor-Driven Keypoint Detection
2018 Digital Image Computing: Techniques and Applications (DICTA), 2018A methodology is proposed (and illustrated on exemplary cases) for detecting keypoints in such a way that usability of those keypoints in image matching tasks can be potentially maximized. Following the approach used for MSER detection, we localize keypoints at image patches for which the selected keypoint descriptor is maximally stable under ...
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Edge and keypoint detection in facial regions
Proceedings of the Second International Conference on Automatic Face and Gesture Recognition, 2002The authors introduce a method for the automatic detection of facial features and characteristic anatomical keypoints. In the application they are aiming at the anatomical landmarks are used to accurately measure facial features. Their approach is essentially bused on a selective search and sequential tracking of characteristic edge and line structures
Rainer Herpers +3 more
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Robust Keypoint Detection Using Dynamics
2013In this paper we present a keypoint detector based on the bimodality of the histograms of oriented gradients (HOGs). We compute the bimodality of each HOG, and a bimodality image is constructed from the result of this bimodality test. The maxima with highest dynamics of the image obtained are selected as robust keypoints.
Miguel Angel Cataño, Juan Climent
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Detecting Keypoints for Automated Annotation of Bounding Boxes using Keypoint Extraction
2020 International Conference on Computational Science and Computational Intelligence (CSCI), 2020Object detection requires an enormous amount of training data annotated by bounding boxes. All bounding boxes are manually drawn, which leads to highly expensive labor costs. Therefore, this study proposes automatic bounding box annotation of training data for object detection.
Kaito Ishizaki +2 more
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TKDN: Scene Text Detection via Keypoints Detection
2019In the past few years, great efforts have been devoted to scene text detection. Nevertheless, efficient text detection in the wild remains a challenging problem. Methods for general object detection usually have limitations in handling the arbitrary orientations and large aspect ratios of scene text.
Yuanshun Cui +4 more
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