Emon Kumar Dey
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View article: Roof Boundary Points Extraction from LiDAR Point Cloud Data Using Adaptive Neighbourhood-based α-Shape Algorithm
Roof Boundary Points Extraction from LiDAR Point Cloud Data Using Adaptive Neighbourhood-based α-Shape Algorithm Open
Accurate building roof boundary extraction from airborne LiDAR point clouds remains a challenge due to abrupt density variations and complex roof structures. Existing -shape-based methods are capable of detecting building boundary points. …
View article: SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments
SERN: Simulation-Enhanced Realistic Navigation for Multi-Agent Robotic Systems in Contested Environments Open
The increasing deployment of autonomous systems in complex environments necessitates efficient communication and task completion among multiple agents. This paper presents SERN (Simulation-Enhanced Realistic Navigation), a novel framework …
View article: Segmentation of LiDAR point cloud data in urban areas using adaptive neighborhood selection technique
Segmentation of LiDAR point cloud data in urban areas using adaptive neighborhood selection technique Open
Semantic segmentation of urban areas using Light Detection and Ranging (LiDAR) point cloud data is challenging due to the complexity, outliers, and heterogeneous nature of the input point cloud data. The machine learning-based methods for …
View article: Machine learning-based segmentation of aerial LiDAR point cloud data on building roof
Machine learning-based segmentation of aerial LiDAR point cloud data on building roof Open
Three-dimensional (3D) reconstruction of a building can be facilitated by correctly segmenting different feature points (e.g. in the form of boundary, fold edge, and planar points) over the building roof, and then, establishing relationshi…
View article: Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning
Mixed Precision Quantization to Tackle Gradient Leakage Attacks in Federated Learning Open
Federated Learning (FL) enables collaborative model building among a large number of participants without the need for explicit data sharing. But this approach shows vulnerabilities when privacy inference attacks are applied to it. In part…
View article: OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users
OMAD: On-device Mental Anomaly Detection for Substance and Non-Substance Users Open
Stay at home order during the COVID-19 helps flatten the curve but ironically, instigate mental health problems among the people who have Substance Use Disorders. Measuring the electrical activity signals in brain using off-the-shelf consu…
View article: Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof
Automatic Filtering of Lidar Building Point Cloud in Case of Trees Associated to Building Roof Open
This paper suggests a new algorithm for automatic building point cloud filtering based on the Z coordinate histogram. This operation aims to select the roof class points from the building point cloud, and the suggested algorithm considers …
View article: Building Boundary Extraction from LiDAR Point Cloud Data
Building Boundary Extraction from LiDAR Point Cloud Data Open
Building boundary extraction from LiDAR point cloud data is important for urban planning and 3D modelling. Due to the uneven point distribution, missing data, and occlusion in LiDAR point cloud data, extraction of boundary points is challe…
View article: Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data
Effective Selection of Variable Point Neighbourhood for Feature Point Extraction from Aerial Building Point Cloud Data Open
Existing approaches that extract buildings from point cloud data do not select the appropriate neighbourhood for estimation of normals on individual points. However, the success of these approaches depends on correct estimation of the norm…
View article: Outlier detection and robust plane fitting for building roof extraction from LiDAR data
Outlier detection and robust plane fitting for building roof extraction from LiDAR data Open
Individual roof plane extraction from Light Detection and Ranging (LiDAR) point-cloud data is a complex and difficult task because of unknown semantic characteristics and inharmonious behaviour of input data. Most of the existing state-of-…
View article: A Robust Performance Evaluation Metric for Extracted Building Boundaries From Remote Sensing Data
A Robust Performance Evaluation Metric for Extracted Building Boundaries From Remote Sensing Data Open
Various methods for automatic building extraction from remote sensing data including light detection and ranging (LiDAR) data have been proposed over the last two decades but a standard metric for evaluation of the extracted building bound…
View article: An Unsupervised Outlier Detection Method For 3D Point Cloud Data
An Unsupervised Outlier Detection Method For 3D Point Cloud Data Open
This paper introduces an effective method for outlier detection from the point cloud data. Although, the state-of-the-art methods offer good results in removing outliers, in most of the cases inliers are also removed erroneously. This pape…
View article: Remote Sensing Image Scene Classification
Remote Sensing Image Scene Classification Open
Remote sensing image scene classification has gained remarkable attention because of its versatile use in different applications like geospatial object detection, natural hazards detection, geographic image retrieval, environment monitorin…
View article: Aspect Extraction from Bangla Reviews using Convolutional Neural Network
Aspect Extraction from Bangla Reviews using Convolutional Neural Network Open
The extensive customer reviews in web assist customers for purchase-decision-making as well as providers for business planning. Summarization of reviews is desirable as reading all reviews is not feasible to evaluate properly. To find aspe…
View article: Datasets for Aspect-Based Sentiment Analysis in Bangla and Its Baseline Evaluation
Datasets for Aspect-Based Sentiment Analysis in Bangla and Its Baseline Evaluation Open
With the extensive growth of user interactions through prominent advances of the Web, sentiment analysis has obtained more focus from an academic and a commercial point of view. Recently, sentiment analysis in the Bangla language is progre…
View article: A CNN Based Approach for Garments Texture Design Classification
A CNN Based Approach for Garments Texture Design Classification Open
Identifying garments texture design automatically for recommending the fashion trends is important nowadays because of the rapid growth of online shopping. By learning the properties of images efficiently, a machine can give better accurac…
View article: Garments Texture Design Class Identification Using Deep Convolutional Neural Network
Garments Texture Design Class Identification Using Deep Convolutional Neural Network Open
Automatic garments design class identification for recommending the fashion trends is important nowadays because of the rapid growth of online shopping. By learning the properties of images efficiently, a machine can give better accuracy o…
View article: Bilateral histogram equalization with pre-processing for contrast enhancement
Bilateral histogram equalization with pre-processing for contrast enhancement Open
Various methods have been proposed for enhancing the images. Some of those perform well in some specific application areas but most of the techniques suffer from artifacts due to over enhancement. To overcome this problem, we have introduc…
View article: Application of deep learning to computer vision: A comprehensive study
Application of deep learning to computer vision: A comprehensive study Open
Deep learning is a new era of machine learning research, where many layers of information processing stages are exploited for unsupervised feature learning. Using multiple levels of representation and abstraction, it helps a machine to und…
View article: An Automated System for Garment Texture Design Class Identification
An Automated System for Garment Texture Design Class Identification Open
Automatic identification of garment design class might play an important role in the garments and fashion industry. To achieve this, essential initial works are found in the literature. For example, construction of a garment database, auto…
View article: A Gender Recognition Approach with an Embedded Preprocessing
A Gender Recognition Approach with an Embedded Preprocessing Open
Gender recognition from facial images has become an empirical aspect in present world.It is one of the main problems of computer vision and researches have been conducting on it.Though several techniques have been proposed, most of the tec…