Results 31 to 40 of about 330,202 (308)
Sensors, 2020 The foreground segmentation method is a crucial first step for many video analysis methods such as action recognition and object tracking. In the past five years, convolutional neural network based foreground segmentation methods have made a great ...
Ye Tao, Zhihao Ling
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A Practical Guide to Multi-Image Alignment [PDF]
2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 To appear in ICASSP ...
Cecilia Aguerrebere +3 more
openaire +2 more sources
CleanPage: Fast and Clean Document and Whiteboard Capture
Journal of Imaging, 2020 The move from paper to online is not only necessary for remote working, it is also significantly more sustainable. This trend has seen a rising need for the high-quality digitization of content from pages and whiteboards to sharable online material ...
Jane Courtney
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Dynamic Guided Multimodal Entity Alignment Based on Image Confidence [PDF]
Jisuanji gongchengMultimodal entity alignment identifies entities across different knowledge graphs that refer to the same real-world object and integrates these knowledge graphs. However, the inherent noise present in images, which are critical carriers of information in
ZHANG Xiaoming, CHEN Tongqing, WANG Huiyong
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An SIFT-Based Fast Image Alignment Algorithm for High-Resolution Image
IEEE Access, 2023 To solve the problem of high-resolution image alignment time overhead, an SIFT-based fast image alignment algorithm is presented. The overlap region of images is computed in detail by phase correlation algorithm to avoid a lot of useless calculations of ...
Zetian Tang +3 more
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Simultaneous Image Registration and Monocular Volumetric Reconstruction of a fluid flow [PDF]
, 2011 We propose to combine image registration and volumetric reconstruction from a monocular video of a draining off Hele-Shaw cell filled with water. A Hele-Shaw cell is a tank whose depth is small (e.g. 1 mm) compared to the other dimensions (e.g.
Brunet, Florent +5 more
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Fine Alignment of Thermographic Images for Robotic Inspection of Parts with Complex Geometries
Sensors, 2022 Increasing the efficiency of the quality control phase in industrial production lines through automation is a rapidly growing trend. In non-destructive testing, active thermography techniques are known for their suitability to allow rapid non-contact and
Carmelo Mineo +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingAt present, most remote sensing change detection methods are applicable to bitemporal image alignment scenarios, that is, assuming that the pixel pairs of bitemporal images are spatially registered. Detection accuracy is highly sensitive to the alignment
Guoqing Wang +5 more
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Improved Kiwifruit Detection Using Pre-Trained VGG16 With RGB and NIR Information Fusion
IEEE Access, 2020 This study presents a novel method to apply the RGB-D (Red Green Blue-Depth) sensors and fuse aligned RGB and NIR images with deep convolutional neural networks (CNN) for fruit detection.
Zhihao Liu +6 more
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Real-Time Image Processing Toolbox for All-Optical Closed-Loop Control of Neuronal Activities
Frontiers in Cellular Neuroscience, 2022 The development of in vivo imaging and optogenetic tools makes it possible to control neural circuit activities in an all-optical, closed-loop manner, but such applications are limited by the lack of software for online analysis of neuronal imaging data.
Weihao Sheng +3 more
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