Essays about: "Hand Pose Estimation"
Showing result 1 - 5 of 9 essays containing the words Hand Pose Estimation.
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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
University essay from Linköpings universitet/Statistik och maskininlärningAbstract : 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. READ MORE
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2. MobilePose: Real-Time 3D Hand Pose Estimation from a Single RGB Image
University essay from Lunds universitet/Matematik LTHAbstract : 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. READ MORE
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3. CAD-Based Pose Estimation - Algorithm Investigation
University essay from Linköpings universitet/DatorseendeAbstract : 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. READ MORE
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4. Real-time hand pose estimation on a smart-phone using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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5. Hand Detection and Pose Estimation using Convolutional Neural Networks
University essay from KTH/Skolan för datavetenskap och kommunikation (CSC)Abstract : 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. READ MORE