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Sungin Choi and Jung-Seo Park
As the scale of offshore plants has gradually increased, the amount of management points has significantly increased. Therefore, there are needs for innovative process control, quality management, and an installation support system to improve productivit...
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Konstantinos Bacharidis, Froso Sarri and Lemonia Ragia
In recent years, advances in computer hardware, graphics rendering algorithms and computer vision have enabled the utilization of 3D building reconstructions in the fields of archeological structure restoration and urban planning. This paper deals with t...
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Theocharis Chatzis, Andreas Stergioulas, Dimitrios Konstantinidis, Kosmas Dimitropoulos and Petros Daras
The field of 3D hand pose estimation has been gaining a lot of attention recently, due to its significance in several applications that require human-computer interaction (HCI). The utilization of technological advances, such as cost-efficient depth came...
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Van Minh Nguyen, Emma Sandidge, Trupti Mahendrakar and Ryan T. White
The accelerating deployment of spacecraft in orbit has generated interest in on-orbit servicing (OOS), inspection of spacecraft, and active debris removal (ADR). Such missions require precise rendezvous and proximity operations in the vicinity of non-coo...
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Long Hoang, Suk-Hwan Lee, Eung-Joo Lee and Ki-Ryong Kwon
Light Detection and Ranging (LiDAR), which applies light in the formation of a pulsed laser to estimate the distance between the LiDAR sensor and objects, is an effective remote sensing technology. Many applications use LiDAR including autonomous vehicle...
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Sudarshan Ramenahalli
Figure Ground Organization (FGO)-inferring spatial depth ordering of objects in a visual scene-involves determining which side of an occlusion boundary is figure (closer to the observer) and which is ground (further away from the observer). A combination...
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Xianghan Wang, Jie Jiang, Yanming Guo, Lai Kang, Yingmei Wei and Dan Li
Precise 3D hand pose estimation can be used to improve the performance of human?computer interaction (HCI). Specifically, computer-vision-based hand pose estimation can make this process more natural. Most traditional computer-vision-based hand pose esti...
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Qiang Zhou and Xin Li
This study focused on the homography estimation between the camera image and the wall map and presented a novel method (HomographyFpnNet). The high precision and low time consumption of this method will benefit many homography-related applications in rob...
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Yundong Li, Xiaokun Wei and Hanlu Fan
Monocular depth estimation (MDE), as one of the fundamental tasks of computer vision, plays important roles in downstream applications such as virtual reality, 3D reconstruction, and robotic navigation. Convolutional neural networks (CNN)-based methods g...
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Ka Seng Chou, Teng Lai Wong, Kei Long Wong, Lu Shen, Davide Aguiari, Rita Tse, Su-Kit Tang and Giovanni Pau
This research addresses the challenges of visually impaired individuals? independent travel by avoiding obstacles. The study proposes a distance estimation method for uncontrolled three-dimensional environments to aid navigation towards labeled target ob...
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Liat David, Motti Zohar and Ilan Shimshoni
This study offers a quantitative solution that automates the creation of a historical timeline starting with old drawings from the beginning of the 18th century and ending with present-day photographs of the Old City of Jerusalem. This is performed using...
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Chi Zhang, Zhong Yang, Haoze Zhuo, Luwei Liao, Xin Yang, Tang Zhu and Guotao Li
Self-localization and state estimation are crucial capabilities for agile drone autonomous navigation. This article presents a lightweight and drift-free vision-IMU-GNSS tightly coupled multisensor fusion (LDMF) strategy for drones? autonomous and safe n...
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Riccardo Spezialetti, Samuele Salti and Luigi Di Stefano
Matching surfaces is a challenging 3D Computer Vision problem typically addressed by local features. Although a plethora of 3D feature detectors and descriptors have been proposed in literature, it is quite difficult to identify the most effective detect...
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Xiong Zou, Wenqiang Zhan, Changshi Xiao, Chunhui Zhou, Qianqian Chen, Tiantian Yang and Xin Liu
The demand for non-powered facility towing is increasing with the development of large-scale offshore projects. It is of great interest for its safe operation to measure the state of the towing process in real time. This paper proposed a computer vision ...
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Alan López-Martínez and Francisco Javier Cuevas
In computer vision, estimating geometric relations between two different views of the same scene has great importance due to its applications in 3D reconstruction, object recognition and digitization, image registration, pose retrieval, visual tracking a...
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Nikolaos Partarakis, Xenophon Zabulis, Antonis Chatziantoniou, Nikolaos Patsiouras and Ilia Adami
A wide spectrum of digital data are becoming available to researchers and industries interested in the recording, documentation, recognition, and reproduction of human activities. In this work, we propose an approach for understanding and articulating hu...
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J. Diego Mendoza-Gámez,David Asael Gutierrez-Hernandez,Irving Rico-Restrepo,Raúl Santiago-Montero,Víctor M. Zamudio,Josué Del Valle-Hernández,Miguel Gómez-Díaz,Jackeline Granados-Ruiz
The analysis of the human gait is of great importance for the diagnosis and the choice of the type of treatment that the patient must obtain. In this work, we report a proposal of the capture of the movement and an interpretation of the signal obtained b...
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Sheeraz Arif, Jing Wang, Tehseen Ul Hassan and Zesong Fei
Human activity recognition is an active field of research in computer vision with numerous applications. Recently, deep convolutional networks and recurrent neural networks (RNN) have received increasing attention in multimedia studies, and have yielded ...
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Ling Bai, Yinguo Li and Ming Cen
With the popularity of ground and airborne three-dimensional laser scanning hardware and the development of advanced technologies for computer vision in geometrical measurement, intelligent processing of point clouds has become a hot issue in artificial ...
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Polina Lemenkova and Olivier Debeir
With methods for processing remote sensing data becoming widely available, the ability to quantify changes in spatial data and to evaluate the distribution of diverse landforms across target areas in datasets becomes increasingly important. One way to ap...
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