Sökning: "Stereo vision"

Visar resultat 11 - 15 av 72 uppsatser innehållade orden Stereo vision.

1. 11. Approaching Ground-Truth EntrancePupil Position For Mixed Reality Applications And The Possibilities Of Using Computer Vision To This End

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Ricardo Danza Madera; [2021]
   Nyckelord :;

   Sammanfattning : Given the requirement to increase the accuracy of eye tracking for mixed reality applications, it was necessary to develop a technology that could more accurately approach the ground-truth position of a human entrance-pupil. The goal was to use Computer Vision, in the forms of pairs of stereo-images of the eyes, to estimate said position of the entrance-pupil. LÄS MER

3. 12. Fusing Stereo Measurements into a Global 3D Representation

   Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

   Författare :Per Blåwiik; [2021]
   Nyckelord :3D Reconstruction; Stereo Reconstruction; Computer Vision; SDF; Octree; Marching Cubes;

   Sammanfattning : The report describes the thesis project with the aim of fusing an arbitrary sequence of stereo measurements into a global 3D representation in real-time. The proposed method involves an octree-based signed distance function for representing the 3D environment, where the geomtric data is fused together using a cumulative weighted update function, and finally rendered by incremental mesh extraction using the marching cubes algorithm. LÄS MER

4. 13. Towards Visual-Inertial SLAM for Dynamic Environments Using Instance Segmentation and Dense Optical Flow

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

   Författare :Luis Alejandro Sarmiento Gonzalez; [2021]
   Nyckelord :Semantic SLAM; Stereo Vision; VisualInertial SLAM; Motion likelihood; Stereo disparity; Dense optical flow; Dynamic objects.; Semantisk SLAM; Stereo Vision; Visual-Inertial SLAM; Sannolikhet för rörelse; Stereoskillnader; Tätt optiskt flöde; Dynamiska objekt.;

   Sammanfattning : Dynamic environments pose an open problem for the performance of visual SLAM systems in real-life scenarios. Such environments involve dynamic objects that can cause pose estimation errors. LÄS MER

5. 14. Deep Reinforcement Learning for Complete Coverage Path Planning in Unknown Environments

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

   Författare :Omar Boufous; [2020]
   Nyckelord :;

   Sammanfattning : Mobile robots must operate autonomously, often in unknown and unstructured environments. To achieve this objective, a robot must be able to correctly per- ceive its environment, plan its path, and move around safely, without human su- pervision. Navigation from an initial position to a target location has been a chal- lenging problem in robotics. LÄS MER

7. 15. Depth Estimation from Images using Dense Camera-Lidar Correspondences and Deep Learning

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

   Författare :Ajinkya Khoche; [2020]
   Nyckelord :;

   Sammanfattning : Depth estimation from 2D images is a fundamental problem in Computer Vision, and is increasingly becoming an important topic for Autonomous Driving. A lot of research is driven by innovations in Convolutional Neural Networks, which efficiently encode low as well as high level image features and are able to fuse them to find accurate pixel correspondences and learn the scale of the objects. LÄS MER