Combining the object-oriented technology and tree view function of VB6, a graphical control method based on tree view is presented. The information about the algorithm is wrapped in these graphical controls by means o...
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Blood group detection is essential in medical diagnostics and transfusion medicine but often relies on invasive methods requiring specialized infrastructure. This research introduces an automated, non-invasive blood g...
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The proceedings contain 78 papers. The special focus in this conference is on Recent Trends in imageprocessing and Pattern Recognition. The topics include: Ensemble of Nested Dichotomies for Author Identification Sys...
ISBN:
(纸本)9789811604928
The proceedings contain 78 papers. The special focus in this conference is on Recent Trends in imageprocessing and Pattern Recognition. The topics include: Ensemble of Nested Dichotomies for Author Identification System Using Similarity-Based Textual Features;Feature Combination of Pauli and H/A/Alpha Decomposition for Improved Oil Spill Detection Using SAR;a Fast and Efficient Convolutional Neural Network for Fruit Recognition and Classification;copy-Move image Forgery Detection Using Discrete Wavelet Transform;a Comprehensive Survey of Different Phases for Involuntary System for Face Emotion Recognition;classification of Vehicle Type on Indian Road Scene Based on Deep Learning;indian Road Lanes Detection Based on Regression and clustering using Video processing Techniques;detection of Emotion Intensity Using Face Recognition;double Authentication System Based on Face Identification and Lipreading;fuzzy Approach to Evaluate Performance of Teaching Staff in Technical Institutions;safety Gear Check at Industries and Laboratories Using Convolutional Neural Network Based on Deep Learning;analysis of Changing Trends in Textual Data Representation;detection of Falsary Happening on Social Media Using imageprocessing: Feature Extraction and Matching;Development of Multi Faces Recognition System Using HOG Features and Neural Network Classifier in Real Time Environment;extraction of Key Frame from Random Videos Based On Discrete Cosine Transformation;Prediction of SO2 Air Pollution Quality Parameter of Kolhapur City Using Time Series Analysis;A Big Data Prediction for Weather Forecast Using Hybrid ARIMA-ANN Time Series Model;automatic Detection of Riots Using Deep Learning;protecting Big Data Sets from Unauthorized Users on Cloud;text Categorization: A Lazy Learning-Based Approach.
Firstly, this paper studies the overall structure, key technologies and core hardware design of the high-resolution satellite image data receiving and processing system. The system adopts a real-time parallel image da...
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The proceedings contain 78 papers. The special focus in this conference is on Recent Trends in imageprocessing and Pattern Recognition. The topics include: Ensemble of Nested Dichotomies for Author Identification Sys...
ISBN:
(纸本)9789811605062
The proceedings contain 78 papers. The special focus in this conference is on Recent Trends in imageprocessing and Pattern Recognition. The topics include: Ensemble of Nested Dichotomies for Author Identification System Using Similarity-Based Textual Features;Feature Combination of Pauli and H/A/Alpha Decomposition for Improved Oil Spill Detection Using SAR;a Fast and Efficient Convolutional Neural Network for Fruit Recognition and Classification;copy-Move image Forgery Detection Using Discrete Wavelet Transform;a Comprehensive Survey of Different Phases for Involuntary System for Face Emotion Recognition;classification of Vehicle Type on Indian Road Scene Based on Deep Learning;indian Road Lanes Detection Based on Regression and clustering using Video processing Techniques;detection of Emotion Intensity Using Face Recognition;double Authentication System Based on Face Identification and Lipreading;fuzzy Approach to Evaluate Performance of Teaching Staff in Technical Institutions;safety Gear Check at Industries and Laboratories Using Convolutional Neural Network Based on Deep Learning;analysis of Changing Trends in Textual Data Representation;detection of Falsary Happening on Social Media Using imageprocessing: Feature Extraction and Matching;Development of Multi Faces Recognition System Using HOG Features and Neural Network Classifier in Real Time Environment;extraction of Key Frame from Random Videos Based On Discrete Cosine Transformation;Prediction of SO2 Air Pollution Quality Parameter of Kolhapur City Using Time Series Analysis;A Big Data Prediction for Weather Forecast Using Hybrid ARIMA-ANN Time Series Model;automatic Detection of Riots Using Deep Learning;protecting Big Data Sets from Unauthorized Users on Cloud;text Categorization: A Lazy Learning-Based Approach.
Based on the characteristics and parallel design research of multi-core and many-core hardware platforms, this paper proposes an adaptive parallel optimization design method for signalprocessing on multi-core and man...
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This research paper introduces an improved ORB-SLAM3, which is integrated with YOLO to achieve real-time dynamic feature point elimination and pose optimization. ORB-SLAM3 uses the ORB feature extractor to extract cor...
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ISBN:
(纸本)9798350386660;9798350386677
This research paper introduces an improved ORB-SLAM3, which is integrated with YOLO to achieve real-time dynamic feature point elimination and pose optimization. ORB-SLAM3 uses the ORB feature extractor to extract corner points, uses descriptors to match supporting points, and finally estimates the camera pose. However, in some dynamic scenes, the motion of dynamic objects will affect the pose estimation accuracy of SLAM, resulting in incorrect camera pose estimation. In order to solve this problem, it is proposed to add YOLO into ORB-SLAM3, and use YOLO's target detection to detect prior dynamic objects in image frames and eliminate feature points in dynamic objects, so as to reduce the impact of dynamic objects on camera pose estimation. The idea was evaluated on a publicly available dataset, which confirmed that pose estimation in dynamic scenarios was more accurate than the benchmark ORB-SLAM3.
The ongoing development of intelligent ammunition has resulted in an expansion of the functions that such ammunition must perform, thereby increasing the demand for internal computing capabilities in both scale and co...
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The significance of the saying 39;a picture is worth a thousand words39; is evident in our daily experiences, showcasing the profound impact of images. This paper delves into the contemporary and emerging applicat...
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Although the existing Multi View Video Coding (MVC) achieves high coding efficiency, it also increases the risk of error propagation. This article will study the multi view and multi description video encoding technol...
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