Sökning: "Hand Pose Estimation"

Visar resultat 1 - 5 av 9 uppsatser innehållade orden Hand Pose Estimation.

1. 1. Deep Learning for estimation of fingertip location in 3-dimensional point clouds : An investigation of deep learning models for estimating fingertips in a 3D point cloud and its predictive uncertainty

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Phillip Hölscher; [2021]
   Nyckelord :Deep Learning; Point Cloud; Hand Pose Estimation; Fingertip Localization; Model Uncertainty;

   Sammanfattning : Sensor technology is rapidly developing and, consequently, the generation of point cloud data is constantly increasing. Since the recent release of PointNet, it is possible to process this unordered 3-dimensional data directly in a neural network. LÄS MER

3. 2. MobilePose: Real-Time 3D Hand Pose Estimation from a Single RGB Image

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :David Larsson; Sofie Hellmark; [2020]
   Nyckelord :3D hand pose estimation; real-time; Convolutional neural networks; Image analysis; Machine learning; AR; Mathematics and Statistics;

   Sammanfattning : Estimating 3D hand poses from RGB images is a challenging task. In this work we construct efficient neural networks to regress sparse 3D skeletons consisting of 21 keypoints in the hand. Additionally heatmaps are regressed to locate the keypoints in 2D. LÄS MER

4. 3. CAD-Based Pose Estimation - Algorithm Investigation

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Annette Lef; [2019]
   Nyckelord :6D pose estimation; bin-picking; point cloud; Point Pair Feature; Fast Global Registration;

   Sammanfattning : One fundamental task in robotics is random bin-picking, where it is important to be able to detect an object in a bin and estimate its pose to plan the motion of a robotic arm. For this purpose, this thesis work aimed to investigate and evaluate algorithms for 6D pose estimation when the object was given by a CAD model. LÄS MER

5. 4. Real-time hand pose estimation on a smart-phone using Deep Learning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Valentin Gourmet; [2019]
   Nyckelord :Hand joints; Deep Learning; Convolutional neural networks; Artificial intelligence; Embedded devices.;

   Sammanfattning : Hand pose estimation is a computer vision challenge that consists of detecting the coordinates of a hand’s key points in an image. This research investigates several deep learning-based solutions to determine whether or not it is possible to improve current state-of-the-art detectors for smartphone applications. LÄS MER

7. 5. Hand Detection and Pose Estimation using Convolutional Neural Networks

   Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

   Författare :Adam Knutsson; [2015]
   Nyckelord :machine learning; artificial neural networks; convolutional neural networks; computer vision;

   Sammanfattning : This thesis examines how convolutional neural networks can applied to the problem of hand detection and hand pose estimation. Two families of convolutional neural networks are trained, aimed at performing the task of classification or regression. The networks are trained on specialized data generated from publicly available datasets. LÄS MER