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TSDF Volume Reconstruction.pdf

发布时间：2022-05-31 发布人：admin 分类：说明书 资料大小：6.20M 资料格式：pdf 举报 版权申诉
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    Introduction
    Approach
    Results
    Computer Vision Group TSDF Volume Reconstruction Martin Herrmann Simon Trendel Neeraj Sujan Technische Universit¨at M¨unchen Department of Informatics Computer Vision Group October 5, 2015 Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 1 / 19
    Computer Vision Group Outline 1 Introduction 2 Approach 3 Results Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 2 / 19
    Computer Vision Group Outline 1 Introduction 2 Approach 3 Results Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 3 / 19
    Computer Vision Group Introduction Reconstruct 3D voxel grid from multiple input frames Frames consist of color (RGB) and depth images Must be fast enough to use in real-time with a Kinect (or a similar sensor) Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 4 / 19
    Computer Vision Group Introduction Reconstruct 3D voxel grid from multiple input frames Frames consist of color (RGB) and depth images Must be fast enough to use in real-time with a Kinect (or a similar sensor) Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 4 / 19
    Computer Vision Group Introduction Reconstruct 3D voxel grid from multiple input frames Frames consist of color (RGB) and depth images Must be fast enough to use in real-time with a Kinect (or a similar sensor) Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 4 / 19
    Computer Vision Group Outline 1 Introduction 2 Approach 3 Results Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 5 / 19
    Computer Vision Group The Pipeline Bilateral Filter Calculate Normals ICP t + 1 TSDF Integration Raycasting Martin Herrmann Simon Trendel Neeraj Sujan: TSDF Volume Reconstruction 6 / 19
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