Essays about: "pointcloud"

Showing result 1 - 5 of 7 essays containing the word pointcloud.

  1. 1. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation

    University essay from Blekinge Tekniska Högskola

    Author : Abhinav Chitta; [2024]
    Keywords : ;

    Abstract : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. READ MORE

  3. 2. Point Cloud Registration using both Machine Learning and Non-learning Methods : with Data from a Photon-counting LIDAR Sensor

    University essay from Linköpings universitet/Datorseende

    Author : Maja Boström; [2023]
    Keywords : Point Cloud Registration; Machine Learning; Photon-counting LIDAR; Iterative Closest Point;

    Abstract : Point Cloud Registration with data measured from a photon-counting LIDAR sensor from a large distance (500 m - 1.5 km) is an expanding field. Data measuredfrom far is sparse and have low detail, which can make the registration processdifficult, and registering this type of data is fairly unexplored. READ MORE

  4. 3. Estimating Forest Variables from LiDAR Pointcloud Data Using a Deep Learning Approach

    University essay from Linköpings universitet/Kommunikationssystem

    Author : Ella Grundin; Rasmus Kozak Åslöv; [2022]
    Keywords : Deep Learning; Forest Management; Machine Learning; Measuring Forests; Neural Networks; Data Analysis; Digital Edge; Djupinlärning; Skogsbruk; Maskininlärning; Skogsmätning; Neurala nätverk; Dataanalys; Digital Edge;

    Abstract : Knowledge about forest measurements is essential for efficient and sustainableforestry. One important measurement is wood volume, both from an economicand an environmental perspective. Therefore it is crucial to measure wood vol-ume accurately and reliably. READ MORE

  5. 4. 3D Context of Objects : A prior for Object Detection and Place Classification

    University essay from Örebro universitet/Institutionen för naturvetenskap och teknik

    Author : Nima Behzad; [2021]
    Keywords : ;

    Abstract : Contextual information is helpful for object detection and object-based placerepresentation. 3D data significantly helps to capture geometrical informationabout scenes. In this work, a feature descriptor for object context in full 3Dpointclouds of places is introduced together with a method to extract featuresand build the context model. READ MORE

  6. 5. Registration algorithms formatching laser scans in robotics application

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Dan Lillrank; [2018]
    Keywords : ICP;

    Abstract : In this study, we compare different variations of the Iterative ClosestPoint (ICP) algorithm for the purpose of matching laser scans generatedby an indoor robot. The study is mainly focused on investigating maxi-mum difference in the viewpoint the algorithms can handle, and if it canbe used for robot-pose estimation by matching laser scan data generatedat different positions in a home. READ MORE