We propose an approach to the creation of a panorama viewport and objects detection within it in real-time on the base of the set of videos from the assembly of cameras. the task of the panorama viewport generation is...
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In order to overcome the shortcomings of low efficiency and subjective factors in manually analyzing and evaluating weld defect images obtained by the ultrasonic TOFD method. In this study, combined with artificial in...
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the outcomes of the third Challenge on HArvesting Raw Tables from Infographics (ICPR 2022 CHART-Infographics) are presented in this work. Recognizing charts is a difficult process which we divided into the following t...
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ISBN:
(数字)9781665490627
ISBN:
(纸本)9781665490627
the outcomes of the third Challenge on HArvesting Raw Tables from Infographics (ICPR 2022 CHART-Infographics) are presented in this work. Recognizing charts is a difficult process which we divided into the following task: Chart image Classification (Task 1), Text Detection and recognition (Task 2), Text Role Classification (Task 3), Axis Analysis (Task 4), Legend Analysis (Task 5), Plot Element Detection and Classification (Task 6.a), Data Extraction (Task 6.b), and End-to-End Data Extraction (Task 7). We have provided a novel dataset for training reusing all available data from previous challenges, and we also provide a brand new testing dataset for the evaluation of submissions. Both datasets were constructed by manually annotating charts extracted from the Open Access section of the PubMed Central. A total of 9 teams registered out of which 5 submitted results for different tasks of the challenge. Many submissions are based on state-of-the-art methods from computervision, but the final scores imply that more work will be required to solve the chart recognition problem. the data, annotation tools, and evaluation scripts have been publicly released for academic use.
Fitness workouts are tremendously helpful in improving individual health and fitness;yet, if practiced incorrectly by the user, they can be unproductive and potentially harmful. these blunders occur when the person fa...
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In recent years, withthe popularization of intelligent devices, there have been more and more low-headed individuals in the classroom, seriously affecting the quality of classroom learning. To address this issue, thi...
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In recent years, food imagerecognition has been a research field that has received much attention. Diet is an essential part of people's daily life. through food imagerecognition and classification, dietary eval...
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Under the background of information age, imageprocessing technology is a commonly used technology in all walks of life. In order to improve the image correction effect, it can be processed based on computervision al...
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this article presents a solution developed with Doosan Robotics and OnRobot for identifying missing or broken pull tabs in manufacturing processes using computervision and robotics integration. the solution involves ...
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Developing the cash crop industry and helping rural revitalization is China's long-term development plan, applying imagerecognition technology to the field of cash crops, and efficiently realizing the picking and...
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this study proposes a Convolutional Neural Network (CNN) based system to aid visually impaired individuals by classifying road surfaces. Leveraging image analysis and processing techniques, the model uses laser beams ...
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