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Visar resultat 11 - 15 av 15 uppsatser som matchar ovanstående sökkriterier.

1. 11. En jämförelse av inlärningsbaserade lösningar för mänsklig positionsuppskattning i 3D

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Alfons Lange; Erik Lindfors; [2019]
   Nyckelord :pose estimation; body pose; 3D; RGB image; Microsoft Kinect; positionsuppskattning; kroppsposition; 3D; RGB-bild; Microsoft Kinect;

   Sammanfattning : Inom områden som idrottsvetenskap och underhållning kan det finnas behov av att analysera en människas kroppsposition i 3D. Dessa behov kan innefatta att analysera en golfsving eller att möjliggöra mänsklig interaktion med spel. LÄS MER

3. 12. Robust Localization of Research Concept Vehicle (RCV) in Large Scale Environment

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

   Författare :Anchit Raghuram; [2018]
   Nyckelord :Localization; Normal Distribution Transform; Pose Fusion; MCL; Monte-Carlo Localization; GPS; Robust Localization; SLAM;

   Sammanfattning : Autonomous vehicles in the recent era are robust vehicles that have the capability to drive themselves without human involvement using sensors and Simultaneous Localization and Mapping algorithms, which helps the vehicle gain an understanding of its environment while driving with the help of laser scanners (Velodyne), IMU and GPS to collect data and solidify the foundation for locating itself in an unknown environment. Various methods were studied and have been tested for increasing the efficiency of registration and optimization over the years but the implementation of the NDT library for mapping and localization have been found to be fast and more accurate as compared to conventional methods. LÄS MER

4. 13. 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

5. 14. Object detection and pose estimation of randomly organized objects for a robotic bin picking system

   Master-uppsats, Blekinge Tekniska Högskola/Sektionen för ingenjörsvetenskap

   Författare :Tomasz Skalski; Witold Zaborowski; [2013]
   Nyckelord :Bin-Picking; Object pose estimation; 3D image processing; Autocorrelation matching; Object detection;

   Sammanfattning : Today modern industry systems are almost fully automated. The high requirements regarding speed, flexibility, precision and reliability makes it in some cases very difficult to create. One of the most willingly researched solution to solve many processes without human influence is bin-picking. LÄS MER

7. 15. Human Detection and Pose Estimation in aMulti-camera System : Using a 3D version of Pictorial Structures

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

   Författare :HAMID SARMADI; [2013]
   Nyckelord :;

   Sammanfattning : Multi-view 3D human pose estimation is still a challenging task in uncontrolled environments. Many related approaches are still dependent on silhouettes of the subject obtained by background subtraction. Background subtraction is difficult if the cameras are moving or the background is dynamic. LÄS MER