Sökning: "Computer Vision"

Visar resultat 21 - 25 av 870 uppsatser innehållade orden Computer Vision.

1. 21. Prototyping Tool for Large Scale Interactive Experiences

   Master-uppsats, Lunds universitet/Institutionen för designvetenskaper

   Författare :Venkata Satya Anurag Gargeya Unnava; Yiyang Liu; [2023]
   Nyckelord :Virtual Reality; Augmented Reality; Interactive Content; Large Scale Interactive Content; Visualizer; Simulations; Technology and Engineering;

   Sammanfattning : In the age where entertainment is the driving force behind the functioning of large industries, companies like SONY have figured out a way to market their entertainment content including movies, music, and games using large-scale interactive marketing and promotional content. Building and testing such content before it is released on large and complex devices is a continuously challenging task and there have been efforts both in academia and industry made to ameliorate this content production workflow. LÄS MER

3. 22. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Daniel Bladh; [2023]
   Nyckelord :Deep Learning; Computer Vision; Monocular; SLAM; Depth Estimation;

   Sammanfattning : This thesis explores the integration of deep learning-based depth estimation models with the ORB-SLAM3 framework to address challenges in monocular Simultaneous Localization and Mapping (SLAM), particularly focusing on pure rotational movements. The study investigates the viability of using pre-trained generic depth estimation networks, and hybrid combinations of these networks, to replace traditional depth sensors and improve scale accuracy in SLAM systems. LÄS MER

4. 23. Understanding the Robustnessof Self Supervised Representations

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Johan Rodahl Holmgren; [2023]
   Nyckelord :Self-Supervision; AI; Robustness; Computer-Vision;

   Sammanfattning : This work investigates the robustness of learned representations of self-supervised learn-ing approaches, focusing on distribution shifts in computer vision. Joint embedding architecture and method-based self-supervised learning approaches have shown advancesin learning representations in a label-free manner and efficient knowledge transfer towardreducing human annotation needs. LÄS MER

5. 24. Design and Construction of an Autonomous Sentry Turret Utilising Computer Vision

   Kandidat-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Carl Bermhed; Jacob Holst; [2023]
   Nyckelord :Mechatronics; Arduino; Computer Vision; Stepper Motor; Airsoft; Haar Cascade; Mekatronik; Arduino; Datorseende; Stegmotor; Airsoft; Haar Cascade;

   Sammanfattning : The design and manufacture of a sentry gun turret capable of accurately and rapidly tracking and shooting moving targets was a challenging task that required delving into various engineering disciplines. This bachelor's thesis explores this challenge by presenting the process of construction, as well as the performance results of a turret created using a combination of 3D printing, laser cutting, and metal workshop manufacturing. LÄS MER

7. 25. Object Recognition and Tracking of Bolts: A Comparative Analysis of CNN Models and Computer Vision Techniques : A Comparison of CNN Models and Tracking Algorithms

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

   Författare :Serhat Bulun; [2023]
   Nyckelord :;

   Sammanfattning : The newer generation industry 4.0 focuses on development of both flexibility and autonomy for power tools used by companies in different mechanical areas and assembly lines. One area for automation is the application of computer vision in power tools to detect, identify and track bolts. LÄS MER