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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1061-1070 订阅

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Underwater Monocular vision 3D Reconstruction Based on Cascaded Epipolar

Underwater Monocular Vision 3D Reconstruction Based on Casca...

引用

2023 IEEE international conference on signal processing, Communications and Computing, ICSPCC 2023

作者： Kang, Yang Haiyan, Wang Yiwen, Zeng Haiyang, Yao School of Electronic Information and Artificial Intelligence Shaanxi University of Science and Technology Xi'an China

ISBN: (纸本)9798350316728

Addressing the challenges of low accuracy in image depth prediction and significant disparity between reconstructed edges and reality in underwater monocular 3D reconstruction, this paper conducts an in-depth analysis of a deep learning network based on Cascaded Epipolar geometry. By employing model pre-training, camera pose inversion, adjusting the format of cascaded convolutions, and modifying the epipolar direction, the model gains the ability to perform 3D reconstruction of underwater monocular visual images. Experiment results on the public dataset Flsea indicates that the Cascaded Epipolar-based method for underwater monocular vision 3D reconstruction offers clearer depth prediction edges and 3D depth information. However, its performance in terms of Mean Squared Error (MSE) shows some deviation comparing to the state-of-the-art UW -GAN. © 2023 IEEE.

关键词： Forecasting

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Hazard Hunter: A Low Cost Search and Rescue robot

Hazard Hunter: A Low Cost Search and Rescue Robot

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signal processing, Computation, Electronics, Power and Telecommunication (IConSCEPT), international conference on

作者： Arajit Saha MD. Zahidul Islam Shuvra Mondal Dept. of EEE American International University-Bangladesh Dhaka Bangladesh

ISBN: (数字)9798331540685

ISBN: (纸本)9798331540692

Rescue operations are among the most vital pillars of disaster management. The duties associated with rescue operations or monitoring in such situations are exceedingly risky. Besides, human participation in such endeavors is invariably hazardous. As a result, as the probability of human error and the need for manual labor diminished, robot involvement gained importance. On the contrary, before human rescue teams embrace robotic assistance, individuals must be confident that it will benefit them rather than hinder them. Considering these issues, an affordable search and rescue robot (SARR) ‘Hazard Hunter’ is proposed and designed to suit developing nations like Bangladesh. This robot is cheap and straightforward to build from common components. Human rescuers may easily exploit the robot's information without any robotic expertise. One notable benefit of this robot is that it can perform remote operations via a wireless way. Sensors, along with a camera module, are incorporated into the design of the automaton to provide real-time information about the terrain around it and enable adequate surveillance. As required, the user may add or remove sensors and access those sensor's readings via web-based monitoring. The development of a user-friendly IP address-based webpage accomplishes the movement of the robot and the acquisition of sensor data for environmental monitoring. It provides continuous thermal, visual, and ambient sensory data from the catastrophe site to the online dashboard. It can also find live people amid debris and communicate with rescuers. The proposed rescue robot has undergone extensive experiments and performance-based evaluation. It will effectively carry out its responsibilities in any critical circumstance.

关键词： Wireless communication Wireless sensor networks Visualization Surveillance robot vision systems Thermal sensors signal processing

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2022 international conference on Intelligent Systems and Computer vision, ISCV 2022

2022 International Conference on Intelligent Systems and Com...

引用

5th international conference on Intelligent Systems and Computer vision, ISCV 2022

ISBN: (纸本)9781665495585

The proceedings contain 71 papers. The topics discussed include: a new sampling strategy to improve the performance of mobile robot path planning algorithms;machine learning based methods for Arabic duplicate question detection;robust traffic signs classification using deep convolutional neural network;image-based visual servoing techniques for robot control;SASHA: a shift-add segmented hybrid approximated multiplier for image processing;graph based method for Arabic text summarization;face information forensics analysis based on facial aging: a survey;advanced financial data processing and labeling methods for machine learning;and recognition system of human activities based on time-frequency features of accelerometer data.

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Humanoid robots that Move on Two Feet and Are Led by vision Systems 3

Humanoid Robots that Move on Two Feet and Are Led by Vision ...

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3rd international conference on Technological Advancements in Computational Sciences, ICTACS 2023

作者： Singh, Kamred Udham Kumar, Ankit Kumar, Gaurav Singh, Teekam Kumar, Santosh Yadav, Satya Prakash School of Computing Graphic Era Hill University Dehradun India Gla University Department of Computer Engineering & Applications UP Mathura India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India Jaipuria Institute of Management Department of Management Jaipur302033 India Glbitm Department of Computer Science and Engineering UP Greater Noida India

ISBN: (纸本)9798350342338

At the convergence of robotics and computer vision lies a crucial research field that focuses on the development of vision-guided walking for humanoid robots. The ability of humanoid robots to walk independently while simultaneously seeing and comprehending their surroundings via the use of visual inputs offers tremendous potential. Humanoid robots are developed to reproduce human-like qualities and skills. This abstract discusses current developments in the area of vision-guided walking for humanoid robots as well as the approaches that have been used. Through the use of computer vision methods in conjunction with walking algorithms, humanoid robots are given the capacity to traverse situations that are both complex and dynamic while exhibiting increased flexibility. For this, real-time sensing of the environment, object identification and avoidance of obstacles, as well as analysis of the terrain, are required in order to arrive at intelligent judgements while moving. vision-guided walking not only makes robotic locomotion more secure and effective, but it also paves the way for a wide range of potential applications, including exploration, human-robot interaction, search and rescue, and many more. Visual sensing systems, sensor fusion procedures, gait generation methods, motion planning, and control strategies. These topics are discussed in relation to vision-guided walking. Different types of sensors, such as cameras, depth sensors, and LiDAR, are being investigated to see how they can best provide a holistic understanding of the surrounding environment. In addition, the abstract draws attention to the difficulties caused by sensor noise, occlusions, fluctuations in illumination, and the need for real-time processing. In places an emphasis on the role that methods of machine learning play in the improvement of vision-guided walking. The use of deep learning algorithms gives robots the ability to learn from data, hence enhancing their capacity to understand and r

关键词： Head movement in robot Humanoid robots Planning and control Proprioceptive sensors Sensors vision guided

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2024 international conference on Optimization Computing and Wireless Communication, ICOCWC 2024

2024 International Conference on Optimization Computing and ...

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2024 international conference on Optimization Computing and Wireless Communication, ICOCWC 2024

ISBN: (纸本)9798350383348

The proceedings contain 311 papers. The topics discussed include: study of adaptive nonlinear signal processing structures for underwater acoustic systems;exploration of the impact of 5g on mobile communication systems;robust image registration using deep reinforcement learning;analyzing the performance of online adaptive clustering for time series with head-based aggregation;self-supervised representation learning for diagnosis of cardiac abnormalities on echocardiograms;an investigation of the use of applied cryptography for preventing unauthorized access;analysis of antenna-to-antenna spatial correlation in multi-user millimeter-wave systems;enhancing automated industrial guiding through computer vision-based detection of centerlines and patterns;and assessing the performance of autonomous and adaptive communications systems in wireless sensor networks.

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Explore the Hallucination on Low-level Perception for MLLMs

Explore the Hallucination on Low-level Perception for MLLMs

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

作者： Sun, Yinan Zhang, Zicheng Wu, Haoning Liu, Xiaohong Lin, Weisi Zhai, Guangtao Min, Xiongkuo Shanghai Jiao Tong University China S-Lab Nanyang Technological University Singapore Nanyang Technological University Singapore Shanghai Jiao Tong University Shanghai China

ISBN: (纸本)9798350368741

The rapid development of Multi-modality Large Language Models (MLLMs) has significantly influenced various aspects of industry and daily life, showcasing impressive capabilities in visual perception and understanding. However, these models also exhibit hallucinations, which limit their reliability as AI systems, especially in tasks involving low-level visual perception and understanding. We believe that hallucinations stem from a lack of explicit self-awareness in these models, which directly impacts their overall performance. In this paper, we aim to define and evaluate the self-awareness of MLLMs in low-level visual perception and understanding tasks. To this end, we present QL-Bench, a benchmark settings to simulate human responses to low-level vision, investigating self-awareness in low-level visual perception through visual question answering related to low-level attributes such as clarity and lighting. Specifically, we construct the LLSAvisionQA dataset, comprising 2, 990 single images and 1, 999 image pairs, each accompanied by an open-ended question about its low-level features. Through the evaluation of 15 MLLMs, we demonstrate that while some models exhibit robust low-level visual capabilities, their self-awareness remains relatively underdeveloped. Notably, for the same model, simpler questions are often answered more accurately than complex ones. However, self-awareness appears to improve when addressing more challenging questions. We hope that our benchmark will motivate further research, particularly focused on enhancing the self-awareness of MLLMs in tasks involving low-level visual perception and understanding. © 2025 IEEE.

关键词： benchmark hallucination low-level vision Multi-modality large language models perception

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3D Human Pose Estimation in Video with Temporal and Spatial Transformer

3D Human Pose Estimation in Video with Temporal and Spatial ...

引用

2023 international conference on Image, signal processing, and Pattern Recognition, ISPP 2023

作者： Peng, Sha Hu, Jiwei School of Information Engineering Wuhan University of Technology Wuhan China

ISBN: (纸本)9781510666351

Previous works on 3D human pose estimation have concentrated on predicting the 3D pose of the human body from a single image, ignoring correlation between adjacent frames in video. We design a transformer network structure that can extract video temporal information, and enhance the accuracy of human pose prediction by encoding relative position with temporal fusion transformer structure to enhance local feature learning capability. On Human3.6M, we quantitatively and qualitatively analyze our method. Research suggests that our TSFormer achieves state-of-the-art performance. © 2023 SPIE.

关键词： Computer vision

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USING A SINGLE INPUT TO FORECAST HUMAN ACTION KEYSTATES IN EVERYDAY PICK AND PLACE ACTIONS 47

USING A SINGLE INPUT TO FORECAST HUMAN ACTION KEYSTATES IN E...

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47th IEEE international conference on Acoustics, Speech and signal processing (ICASSP)

作者： Razali, Haziq Demiris, Yiannis Imperial Coll London Personal Robot Lab Dept Elect & Elect Engn London England

ISBN: (纸本)9781665405409

We define action keystates as the start or end of an action that contains information such as the human pose and time. Existing methods that forecast the human pose use recurrent networks that input and output a sequence of poses. In this paper, we present a method tailored for everyday pick and place actions where the object of interest is known. In contrast to existing methods, ours uses an input from a single timestep to directly forecast (i) the key pose the instant the pick or place action is performed and (ii) the time it takes to get to the predicted key pose. Experimental results show that our method outperforms the state-of-the-art for key pose forecasting and is comparable for time forecasting while running at least an order of magnitude faster. Further ablative studies reveal the significance of the object of interest in enabling the total number of parameters across all existing methods to be reduced by at least 90% without any degradation in performance.

关键词： Human Pose Forecasting

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Research on the Application of Industrial robot Surface Grinding and Polishing Technology in Lithium Battery Cooling Shell 2

Research on the Application of Industrial Robot Surface Grin...

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2nd international conference on Advances in Modern Physics Sciences and Engineering Technology, ICPSET 2023

作者： Fei, Qiang Jin, Biao Zhang, Tong Zhang, Heli School of Mechanical and Electrical Engineering Guangdong University of Science and Technology Dongguan523083 China

In modern intelligent manufacturing, when using industrial robots to complete precision machining of lithium battery heat dissipation housing materials such as assembly, grinding, polishing, and deburring, it is not only necessary to track the position of the robot's end effector, but also to consider the contact force generated when the actuator contacts the working environment. This project takes the research on position and force control in robot automatic polishing process as the starting point. Due to the uncertainty and high degree of nonlinearity in the control process, machine vision is introduced into the process of robotic precision machining systems, combining visual inspection systems and feedback control systems to achieve grinding trajectory planning, verify the feasibility of the control scheme, and develop a robotic lithium battery housing material processing experimental platform to meet the requirements for precision machining of the free surface of the lithium battery heat dissipation workpiece, The surface roughness parameters of the lithium battery heat dissipation workpiece after precision machining by the robot should meet the requirements of the arithmetic mean deviation of the contour. © Published under licence by IOP Publishing Ltd.

关键词： Industrial robots

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Face Makeup Transfer Algorithm Based on CycleGAN 4

Face Makeup Transfer Algorithm Based on CycleGAN

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4th international signal processing, Communications and Engineering Management conference, ISPCEM 2024

作者： Gu, Yunjin Xu, Zihan Zhang, Dengyu International School Beijing University of Posts and Telecommunications Beijing China School of Information University of Sheffield Sheffield United Kingdom International School Zhejiang Gongshang University Hangzhou China

ISBN: (纸本)9798331528676

Face makeup transfer is a popular research direction in the domain of computer vision, where makeup style is considered a special style of facial images, and makeup transfer is a part of style transfer. The process of human face makeup transfer is to transfer the makeup of the reference makeup image to the original makeup image while keeping the facial characteristics of the original makeup image. Currently, Generative Adversarial Networks (GANs) have become the mainstream technology for solving the problem of face makeup transfer. Face makeup transfer will be widely used in the future, such as in beauty cameras, makeup software for one-click makeup, virtual makeup trials for cosmetics, and video makeup transfer (such as live streaming software makeup and TV drama character makeup), and has received widespread attention in recent years. It has significant research value both in academia and industry. In this study, the paper adopted a series of innovative strategies to optimize model performance, including the introduction of non-local attention mechanisms to enhance feature extraction capabilities, improved residual blocks to increase network depth and efficiency, and attention modules in discriminators to improve focus on key features. Additionally, the paper used multi-scale discriminators to capture feature information at different levels and added skip connections to promote gradient flow and information integration, thereby achieving more efficient network training and better performance. ©2024 IEEE.

关键词： Discriminators

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