A revisit of generative model for automatic image annotation using markov random fields [PDF]
, 2009 10.1109/CVPRW.2009.52065182009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, CVPR Workshops 20091153 ...
null Tat-Seng Chua +11 more
core +1 more source
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 ...
Petkov, Nicolai +2 more
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Exploiting web images for event recognition in consumer videos: A multiple source domain adaptation approach [PDF]
, 2012 Recent work has demonstrated the effectiveness of domain adaptation methods for computer vision applications. In this work, we propose a new multiple source domain adaptation method called Domain Selection Machine (DSM) for event recognition in consumer ...
Duan, Lixin +6 more
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Gaussian guided frame sequence encoder network for action quality assessment
Complex & Intelligent Systems, 2022 Can a computer evaluate an athlete’s performance automatically? Many action quality assessment (AQA) methods have been proposed in recent years. Limited by the randomness of video sampling and the simple strategy of model training, the performance of the
Ming-Zhe Li +4 more
doaj +1 more source
Proximal methods for point source localisation [PDF]
Journal of Nonsmooth Analysis and Optimization, 2023 Point source localisation is generally modelled as a Lasso-type problem on measures. However, optimisation methods in non-Hilbert spaces, such as the space of Radon measures, are much less developed than in Hilbert spaces.
Tuomo Valkonen
doaj +1 more source
Computer Analysis of Architecture Using Automatic Image Understanding [PDF]
Journal of Data Mining and Digital Humanities, 2019 In the past few years, computer vision and pattern recognition systems have been becoming increasingly more powerful, expanding the range of automatic tasks enabled by machine vision.
Fan Wei, Yuan Li, Lior Shamir
doaj +3 more sources
The Challenges of HTR Model Training: Feedback from the Project Donner le gout de l'archive a l'ere numerique [PDF]
Journal of Data Mining and Digital Humanities, 2023 The arrival of handwriting recognition technologies offers new possibilities for research in heritage studies. However, it is now necessary to reflect on the experiences and the practices developed by research teams.
Beatrice Couture +3 more
doaj +1 more source
UnShadowNet: Illumination Critic Guided Contrastive Learning for Shadow Removal
IEEE Access, 2023 Shadows are frequently encountered natural phenomena that significantly hinder the performance of computer vision perception systems in practical settings, e.g., autonomous driving.
Subhrajyoti Dasgupta +6 more
doaj +1 more source
A feasibility cachaca type recognition using computer vision and pattern recognition [PDF]
Computers and Electronics in Agriculture, 2016 The problem of recognition of aging time and wood type in chacaca is presented.A new approach is introduced using a computer vision system.The developed image capture device and information processing method is presented.Results show that the new technique is cheaper and better than previous approaches.
Bruno Urbano Rodrigues +13 more
openaire +2 more sources
A framework for reducing ink-bleed in old documents
, 2008 10.1109/CVPR.2008.458782026th IEEE Conference on Computer Vision and Pattern Recognition ...
Xu, D. +8 more
core +1 more source