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检索条件"任意字段=International Conference on Robot Vision and Signal Processing"

共 18158 条记录，以下是1041-1050 订阅

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Deep Video Demoireing via Compact Invertible Dyadic Decomposition

Deep Video Demoireing via Compact Invertible Dyadic Decompos...

引用

IEEE/CVF international conference on Computer vision (ICCV)

作者： Quan, Yuhui Huang, Haoran He, Shengfeng Xu, Ruotao South China University of Technology School of Computer Science and Engineering Guangzhou 510006 China Pazhou Lab Guangzhou 510335 China Singapore Management University School of Computing and Information Systems 188065 Singapore

ISBN: (纸本)9798350307184

Removing moire patterns from videos recorded on screens or complex textures is known as video demoireing. It is a challenging task as both structures and textures of an image usually exhibit strong periodic patterns, which thus are easily confused with moire patterns and can be significantly erased in the removal process. By interpreting video demoireing as a multi-frame decomposition problem, we propose a compact invertible dyadic network called CIDNet that progressively decouples latent frames and the moire patterns from an input video sequence. Using a dyadic cross-scale coupling structure with coupling layers tailored for multi-scale processing, CIDNet aims at disentangling the features of image patterns from that of moire patterns at different scales, while retaining all latent image features to facilitate reconstruction. In addition, a compressed form for the networks output is introduced to reduce computational complexity and alleviate overfitting. The experiments show that CIDNet outperforms existing methods and enjoys the advantages in model size and computational efficiency.

关键词： Deep Video Computational Efficiency Image Features Model Size Video Sequences Image Pattern Latent Features Compressed Format Complex Texture Multiscale Process Latent Image Deep Neural Network Attention Mechanism Video Frames Peak signal-to-noise Ratio Multiscale Analysis Feature Alignment Adjacent Frames Supplement For Details Discrete Cosine Transform Frame Alignment U-shaped Structure Alignment Blocks Multi-scale Structure Reversible Loss Color Shift Information Fidelity Latent Code Spatial Pyramid Pooling Spatial Pyramid

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TSFC: TEXTURE AND STRUCTURE FEATURES COUPLING FOR IMAGE INPAINTING 30

TSFC: TEXTURE AND STRUCTURE FEATURES COUPLING FOR IMAGE INPA...

引用

30th IEEE international conference on Image processing (ICIP)

作者： Liu, Lu Wang, Qi Yu, Wenxin Chen, Shiyu Gong, Jun Chen, Peng Southwest Univ Sci & Technol Mianyang Sichuan Peoples R China Southwest Automat Res Inst Mianyang Sichuan Peoples R China Chengdu Hongchengyun Technol Co Ltd Chengdu Peoples R China

ISBN: (纸本)9781728198354

Image inpainting has made significant progress benefiting from the advantages of convolutional neural networks (CNNs). Deep learning-based methods have shown extraordinary performance in this field. In this paper, we propose a novel image inpainting architecture with pure CNN that can jointly reconstruct the structure and texture of the image. Our generative network architecture (TSFC) consists of two parallel stages: structure generation and texture generation. In the structure generation stage, we use the large convolution kernel, which is highly neglected in modern networks, using the effective perceptual field of the large convolution kernel to enhance the perception of overall structural features. In the texture generation stage, we use the small convolution kernel to extract local texture features. Qualitative and quantitative experimental results on CelebA-HQ and Paris Street View datasets demonstrate the effectiveness and superiority of our method.

关键词： Image Inpainting Encoder-decoder Network Computer vision Deep Learning

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Embrace Smaller Attention: Efficient Cross-Modal Matching with Dual Gated Attention Fusion 48

Embrace Smaller Attention: Efficient Cross-Modal Matching wi...

引用

48th IEEE international conference on Acoustics, Speech and signal processing, ICASSP 2023

作者： Guo, Weikuo Kong, Xiangwei Dalian University of Technology Dalian China Zhejiang University Hangzhou China

ISBN: (纸本)9781728163277

Cross-modal matching is one of the most fundamental and widely studied tasks in the field of data science. To have a better understanding of the complicated cross-modal correspondences, the powerful attention mechanism has been widely used recently. In this paper, we propose a novel Dual Gated Attention Fusion (DGAF) unit to save cross-modal matching from heavy attention computation. Specifically, the attention unit in the main information flow is alternated to a single-head low-dimension light-weighted attention bypass which serves as a gate to selectively cast away noise in both modality. To strengthen the interaction between modalities, an auxiliary memory unit is appended. A gated memory fusion unit is designed to fuse the memorized inter-modality information into both modality streams. Extensive experiments on two benchmark datasets show that the proposed DGAF achieves good balance between the efficiency and the effectiveness. © 2023 IEEE.

关键词： Computer vision

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Servo control technology for automatic screw-tightening process of robotic arm based on multi-vision sensor 10

Servo control technology for automatic screw-tightening proc...

引用

2024 10th international conference on Applied Materials and Manufacturing Technology, ICAMMT 2024

作者： Liu, Zongxin Xie, Wenzhou Xiao, Muzheng Zhang, Zhijing Jin, Xin Qin, Yan School of Mechanical Engineering Beijing Institute of Technology Beijing100081 China Beijing Institute of Remote Sensing Equipment Beijing100048 China

This article discusses the servo control technology for the automatic screw-tightening process of a robotic arm based on multiple visual sensors, aiming at the assembly requirements of complex spatial structural components. The study emphasizes the importance of automated screw-tightening processes in industrial automation to improve efficiency and product quality. Image processing and servo technology have been introduced to achieve precise control of the screw-tightening process. The research focuses on developing a distributed architecture to control robot arms and camera modules, process image information, and make servo adjustments based on perception data. Detailed introductions are given to the assembly control system model, visual observation scheme, image processing algorithms for hole recognition and screwdriver posture detection, as well as servo control mechanism. The research aims to improve the efficiency and accuracy of the screw-tightening process through advanced technology integration. © Published under licence by IOP Publishing Ltd.

关键词： robotic arms

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Allowing Safe Contact in robotic Goal-Reaching: Planning and Tracking in Operational and Null Spaces

Allowing Safe Contact in Robotic Goal-Reaching: Planning and...

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IEEE international conference on robotics and Automation (ICRA)

作者： Zhu, Xinghao Lian, Wenzhao Yuan, Bodi Freeman, C. Daniel Tomizuka, Masayoshi Univ Calif Berkeley Mech Syst Control Lab Mech Engn Berkeley CA 94720 USA X Moonshot Factory Mountain View CA 94043 USA Intrins Innovat LLC Mountain View CA USA Google Res Mountain View CA USA

ISBN: (纸本)9798350323658

In recent years, impressive results have been achieved in robotic manipulation. While many efforts focus on generating collision-free reference signals, few allow safe contact between the robot bodies and the environment. However, in human's daily manipulation, contact between arms and obstacles is prevalent and even necessary. This paper investigates the benefit of allowing safe contact during robotic manipulation and advocates generating and tracking compliance reference signals in both operational and null spaces. In addition, to optimize the collision-allowed trajectories, we present a hybrid solver that integrates sampling- and gradient-based approaches. We evaluate the proposed method on a goal-reaching task in five simulated and real-world environments with different collisional conditions. We show that allowing safe contact improves goal-reaching efficiency and provides feasible solutions in highly collisional scenarios where collision-free constraints cannot be enforced. Moreover, we demonstrate that planning in null space, in addition to operational space, improves trajectory safety. Further information is available at https://***/ContactReach/.

关键词： signal processing

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ICBSP 2023 - Proceedings of 2023 8th international conference on Biomedical Imaging, signal processing

ICBSP 2023 - Proceedings of 2023 8th International Conferenc...

引用

8th international conference on Biomedical Imaging, signal processing, ICBSP 2023

ISBN: (纸本)9798400716584

The proceedings contain 17 papers. The topics discussed include: clustering-based cancer diagnosis model for whole slide image;shared embedding of x-ray & Enose networks for lung cancer classification;performance analysis of lightweight vision transformers and deep convolutional neural networks in detecting brain tumors in MRI scans: an empirical approach;an automated skin lesions classification using hybrid CNN and transformer based deep learning model;a novel approach for repairing unsegmented liver vascular images based on centerline;medical image joint Deringing and denoising using Fourier neural operator;and NerveStitcher2.0: evolution of stitching algorithm for corneal confocal microscope images with optical flow.

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Identity-Preserving Diffusion for Face Restoration

Identity-Preserving Diffusion for Face Restoration

引用

2025 IEEE international conference on Acoustics, Speech, and signal processing, ICASSP 2025

作者： Bai, Xiaying Yang, Yuhao Yang, Wenming Zhu, Rui Xue, Jing-Hao Shenzhen International Graduate School Tsinghua University Shenzhenn China Faculty of Actuarial Science and Insurance City University of London London United Kingdom Department of Statistical Science University College London London United Kingdom

ISBN: (纸本)9798350368741

Face restoration is a critical task in computer vision, aiming to restore high-quality facial images from degraded inputs. In existing diffusion models, identity information is not well preserved when confronted with severely degradation. To address this challenge, we propose a Local Patch-Based Identity-Preserving Diffusion (LPIP-Diff) framework. Our local patch-based strategy leverages the interrelationships between neighboring patches to model highly structured facial context, which facilitates the restoration of fine-grained details and the preservation of identity-related features. We also introduce a fusion degradation estimation method that makes each overlapping area restored multiple times by adjacent patches, effectively restoring local details. The experimental results of LPIP-Diff on three publicly available datasets, including one severely degraded dataset, consistently demonstrate its superiority over the state-of-the-art methods in terms of both quantitative and qualitative evaluations, strikes a good balance between realism and fidelity, and enhances robustness against degradation. © 2025 IEEE.

关键词： Diffusion model face restoration identity preservation local patches

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Utilizing Various Filtering Methodologies in Digital Image processing

Utilizing Various Filtering Methodologies in Digital Image P...

引用

2024 international conference on Electrical, Electronics and Computing Technologies, ICEECT 2024

作者： Singh, Harshdeep Kaur, Sarabpreet Sharma, Preeti Chitkara University Institute of Engineering & Technology Punjab Punjab India CGC Chandigarh Engineering College Punjab India

ISBN: (纸本)9798350378092

The development of efficient noise reduction techniques is imperative to maintain the quality and features of digital images, as they are essential in numerous key applications. Specifically, noise from salt and pepper can severely deteriorate the quality of digital images;the impact varies depending on the size and noise ratio of the image. The problem of image smoothing with edge preservation using Gaussian, mean, and median filters is addressed in this suggested work. For applications including computer vision, surveillance, and medical imaging, it seeks to preserve image structure while lowering noise. The results show that the Mean, Median, and Gaussian filters may be effectively compared for different smoothing applications, as indicated by the desirable peak signal to noise ratios (PSNR). © 2024 IEEE.

关键词： Salt and pepper noise

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Fast identification of coal gangue based on FAST corner point detection Method 8

Fast identification of coal gangue based on FAST corner poin...

引用

8th international conference on Intelligent Computing and signal processing, ICSP 2023

作者： Fan, Xiaoxu Xu, Yaosong Liaoning Technical University Liaoning Huludao China

ISBN: (纸本)9798350302455

Computer-aided gangue recognition is of great significance to the coal industry. For the current situation of low accuracy and relatively high error rate of coal gangue in computer-aided recognition system, a coal gangue recognition model based on FAST corner point detection fusion residual network is proposed. Firstly, the coal gangue images in some data sets are selected, then the data are augmented by rotating the images by 180°, then the images are converted to single channel processing, and finally the data are divided into training set and test set (7:3), and the designed residual network (FAST-Resnet) is trained and tested. After the training, the accuracy, sensitivity and specificity of gangue recognition were 97.53%, 97.91% and 97.18%, respectively, and the calculated AUC was 0.958. By comparison, the experimental results were better than other existing methods in all indexes, and the recognition results can provide a better reference for the classification of gangue. © 2023 IEEE.

关键词： Computer vision

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Balise uplink signal IQ collection 3

Balise uplink signal IQ collection

引用

3rd international conference on Computer vision and Data Mining, ICCVDM 2022

作者： Li, Liang Xu, Qing School of Automation & Electrical Engineering Lanzhou Jiaotong University Lanzhou730070 China CRSC Research & Design Institue Group Co Ltd Beijing100000 China

ISBN: (纸本)9781510661363

Balise uplink signal IQ (I: Inphase;Q: Quadrature) acquisition is an important basis for signal demodulation and uplink signal parameter estimation. Relying on traditional acquisition methods, it is difficult to achieve the requirements of automation, accuracy and real-time online analysis. In order to solve the problems existing in the traditional collection method and improve the collection efficiency of IQ signal. Based on LabVIEW as the development platform, the PXI (PCI extensions for instrumentation) system of NI is used to build a small balise test bench. Combined with the Hilbert transform principle and the characteristics of the uplink signal IQ, the uplink signal IQ acquisition system is designed. Through the actual project debugging of LabVIEW acquisition system, combined with the online analysis of the collected data, the results show that the uplink signal IQ acquisition system based on LabVIEW can effectively solve the problems existing in the traditional acquisition method and can expand the acquisition program according to the actual data processing requirements. © COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only.

关键词： Data handling

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