Results 21 to 30 of about 8,058,581 (353)
Kernel Proposal Network for Arbitrary Shape Text Detection [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2022 Segmentation-based methods have achieved great success for arbitrary shape text detection. However, separating neighboring text instances is still one of the most challenging problems due to the complexity of texts in scene images.
Shi-Xue Zhang +4 more
semanticscholar +1 more source
Shape detection algorithm applicable to solar estimation
Revista Iberoamericana de Automática e Informática Industrial RIAI, 2021 This paper presents a bio-inspired hybrid algorithm for shape detection applicable to solar estimation in solar power plants. The objective is to locate and characterise the shape of a cloud over a solar power plant based on low level irradiance ...
J. M. Aguilar-López +2 more
doaj +1 more source
α-shapes for local feature detection [PDF]
Pattern Recognition, 2016 Local image features are routinely used in state-of-the-art methods to solve many computer vision problems like image retrieval, classification, or 3D registration. As the applications become more complex, the research for better visual features is still active.
Christos Varytimidis +3 more
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Trainable COSFIRE Filters for Keypoint Detection and Pattern Recognition [PDF]
, 2013 Background: Keypoint detection is important for many computer vision applications. Existing methods suffer from insufficient selectivity regarding the shape properties of features and are vulnerable to contrast variations and to the presence of noise or ...
Azzopardi, George, +6 more
core +1 more source
TransHist: Occlusion-robust shape detection in cluttered images
Computational Visual Media, 2018 Shape matching plays an important role in various computer vision and graphics applications such as shape retrieval, object detection, image editing, image retrieval, etc.
Chu Han +3 more
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Representation and detection of deformable shapes [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2003 We describe some techniques that can be used to represent and detect deformable shapes in images. The main difficulty with deformable template models is the very large or infinite number of possible nonrigid transformations of the templates. This makes the problem of finding an optimal match of a deformable template to an image incredibly hard. Using a
openaire +2 more sources
Direction-Coded Temporal U-Shape Module for Multiframe Infrared Small Target Detection
IEEE Transactions on Neural Networks and Learning Systems, 2023 Infrared small target (IRST) detection aims at separating targets from cluttered background. Although many deep learning-based single-frame IRST (SIRST) detection methods have achieved promising detection performance, they cannot deal with extremely dim ...
Ruojing Li +6 more
semanticscholar +1 more source
Unsupervised learning of shape manifolds [PDF]
, 2007 Classical shape analysis methods use principal component analysis to reduce the dimensionality of shape spaces. The basic assumption behind these methods is that the subspace corresponding to the major modes of variation for a particular class of shapes ...
Bhalerao, Abhir +5 more
core +1 more source
Automatic route planning for GPS art generation
Computational Visual Media, 2019 In this paper, we present a novel approach to automated route generation of global positioning system (GPS) artwork. The term GPS artwork describes the generation of drawings by leaving virtual traces on digital maps.
Andre Waschk, Jens Krüger
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Learning Robust Shape-Indexed Features for Facial Landmark Detection
Applied Sciences, 2022 In facial landmark detection, extracting shape-indexed features is widely applied in existing methods to impose shape constraint over landmarks. Commonly, these methods crop shape-indexed patches surrounding landmarks of a given initial shape.
Xintong Wan, Yifan Wu, Xiaoqiang Li
doaj +1 more source