Sökning: "3D Position Estimation using Deep Learning"

Hittade 3 uppsatser innehållade orden 3D Position Estimation using Deep Learning.

1. 1. 3D Bounding Box Detection from Monocular Images

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

   Författare :Marcel Cata Villa; [2019]
   Nyckelord :;

   Sammanfattning : Object detection is particularly important in robotic applications that require interaction with the environment. Although 2D object detection methods obtain accurate results, these are not enough to provide a complete description of the 3D scenario. Therefore, many models have recently showed promising progress in this challenging field. LÄS MER

3. 2. 3D Position Estimation using Deep Learning

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

   Författare :Filippo Pedrazzini; [2018]
   Nyckelord :Convolutional Neural Network; Deep Learning; Computer Vision; 3D Object Localization.;

   Sammanfattning : The estimation of the 3D position of an object is one of the most important topics in the computer vision field. Where the final aim is to create automated solutions that can localize and detect objects from images, new high-performing models and algorithms are needed. LÄS MER

4. 3. Deep Neural Networks for Dynamic Visual Data

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Maria Priisalu; [2016]
   Nyckelord :Deep Learning; Human pose estimation; Human motion estimation; 3D reconstruction; Long Short-Term Memory LSTM ; Technology and Engineering;

   Sammanfattning : Given monocular video of people performing daily tasks our objective is to estimate the 3D positions of 32 given joints associated to the human skeleton. Due to the success of deep convolutional networks in image classification, image segmentation and activity recognition we propose to estimate 3D joint positions from video using deep convolutional networks. LÄS MER