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A Unified Curvature Definition for Regular, Polygonal, and Digital Planar Curves
Springer Science and Business Media LLC - Tập 80 - Trang 104-124 - 2008
Hairong Liu, Longin Jan Latecki, Wenyu Liu
In this paper, we propose a new definition of curvature, called visual curvature. It is based on statistics of the extreme points of the height functions computed over all directions. By gradually ignoring relatively small heights, a multi-scale curvature is obtained. The theoretical properties and the experiments presented demonstrate that multi-scale visual curvature is stable, even in the prese... hiện toàn bộ
Nonlocal Image and Movie Denoising
Springer Science and Business Media LLC - Tập 76 - Trang 123-139 - 2007
Antoni Buades, Bartomeu Coll, Jean-Michel Morel
Neighborhood filters are nonlocal image and movie filters which reduce the noise by averaging similar pixels. The first object of the paper is to present a unified theory of these filters and reliable criteria to compare them to other filter classes. A CCD noise model will be presented justifying the involvement of neighborhood filters. A classification of neighborhood filters will be proposed, in... hiện toàn bộ
Curvature-Driven PDE Methods for Matrix-Valued Images
Springer Science and Business Media LLC - Tập 69 Số 1 - Trang 93-107 - 2006
Christian Feddern, Joachim Weickert, Bernhard Burgeth, Martin Welk
AutoDet: Pyramid Network Architecture Search for Object Detection
Springer Science and Business Media LLC - - 2021
Zhihang Li, Teng Xi, Gang Zhang, Jingtuo Liu, Ran He
Improving Bag-of-Features for Large Scale Image Search
Springer Science and Business Media LLC - Tập 87 - Trang 316-336 - 2009
Hervé Jégou, Matthijs Douze, Cordelia Schmid
This article improves recent methods for large scale image search. We first analyze the bag-of-features approach in the framework of approximate nearest neighbor search. This leads us to derive a more precise representation based on Hamming embedding (HE) and weak geometric consistency constraints (WGC). HE provides binary signatures that refine the matching based on visual words. WGC filters matc... hiện toàn bộ
Beyond Monocular Deraining: Parallel Stereo Deraining Network Via Semantic Prior
Springer Science and Business Media LLC - Tập 130 Số 7 - Trang 1754-1769 - 2022
Kaihao Zhang, Wenhan Luo, Yanjiang Yu, Wenqi Ren, Fang Zhao, Changsheng Li, Lin Ma, Wei Liu, Hongdong Li
Style-Hallucinated Dual Consistency Learning: A Unified Framework for Visual Domain Generalization
Springer Science and Business Media LLC - - Trang 1-17 - 2023
Yuyang Zhao, Zhun Zhong, Na Zhao, Nicu Sebe, Gim Hee Lee
Domain shift widely exists in the visual world, while modern deep neural networks commonly suffer from severe performance degradation under domain shift due to poor generalization ability, which limits real-world applications. The domain shift mainly lies in the limited source environmental variations and the large distribution gap between source and unseen target data. To this end, we propose a u... hiện toàn bộ
Generative Adversarial Network Applications in Industry 4.0: A Review
Springer Science and Business Media LLC - - Trang 1-60 - 2024
Chafic Abou Akar, Rachelle Abdel Massih, Anthony Yaghi, Joe Khalil, Marc Kamradt, Abdallah Makhoul
The breakthrough brought by generative adversarial networks (GANs) in computer vision (CV) applications has gained a lot of attention in different fields due to their ability to capture the distribution of a dataset and generate high-quality similar images. From one side, this technology has been rapidly adopted as an alternative to traditional applications and introduced novel perspectives in dat... hiện toàn bộ
Beyond Covariance: SICE and Kernel Based Visual Feature Representation
Springer Science and Business Media LLC - Tập 129 - Trang 300-320 - 2020
Jianjia Zhang, Lei Wang, Luping Zhou, Wanqing Li
The past several years have witnessed increasing research interest on covariance-based feature representation. Originally proposed as a region descriptor, it has now been used as a general representation in various recognition tasks, demonstrating promising performance. However, covariance matrix has some inherent shortcomings such as singularity in the case of small sample, limited capability in ... hiện toàn bộ
Unconstrained Still/Video-Based Face Verification with Deep Convolutional Neural Networks
Springer Science and Business Media LLC - Tập 126 - Trang 272-291 - 2017
Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M. Patel, Carlos D. Castillo, Rama Chellappa
Over the last 5 years, methods based on Deep Convolutional Neural Networks (DCNNs) have shown impressive performance improvements for object detection and recognition problems. This has been made possible due to the availability of large annotated datasets, a better understanding of the non-linear mapping between input images and class labels as well as the affordability of GPUs. In this paper, we... hiện toàn bộ
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