Sökning: "stereo images"

Visar resultat 26 - 30 av 66 uppsatser innehållade orden stereo images.

1. 26. Domain-Independent Moving Object Depth Estimation using Monocular Camera

   Master-uppsats, KTH/Robotik, perception och lärande, RPL

   Författare :Cesar Nassir; [2018]
   Nyckelord :Robotics; Deep Learning; Computer Vision; Depth Estimation;

   Sammanfattning : Today automotive companies across the world strive to create vehicles with fully autonomous capabilities. There are many benefits of developing autonomous vehicles, such as reduced traffic congestion, increased safety and reduced pollution, etc. To be able to achieve that goal there are many challenges ahead, one of them is visual perception. LÄS MER

3. 27. Infrared image-based modeling and rendering

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

   Författare :Oskar Wretstam; [2017]
   Nyckelord :scene reconstruction; structure from motion; multi-view stereo; image-based modeling; infrared thermography; infrared images; computer vision;

   Sammanfattning : Image based modeling using visual images has undergone major development during the earlier parts of the 21th century. In this thesis a system for automated uncalibrated scene reconstruction using infrared images is implemented and tested. An automated reconstruction system could serve to simplify thermal inspection or as a demonstration tool. LÄS MER

4. 28. Deep Convolutional Neural Networks for Real-Time Single Frame Monocular Depth Estimation

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för systemteknik

   Författare :Jacob Schennings; [2017]
   Nyckelord :deep learning; machine learning; mono vision system; lightweight; CNN; convolutional neural network; depth estimation; lidar; kitti; vehicle camera; mono camera; camera; real-time; real time; ad; autonomous driving; adas; advanced driver assistance systems; mono depth; computer vision; regression; pixel-wise; pixel wise; object detection; general object detection; pedestrian detection; vehicle detection; supervised learning; supervised; tensorflow; python; keras; opencv; autoliv;

   Sammanfattning : Vision based active safety systems have become more frequently occurring in modern vehicles to estimate depth of the objects ahead and for autonomous driving (AD) and advanced driver-assistance systems (ADAS). In this thesis a lightweight deep convolutional neural network performing real-time depth estimation on single monocular images is implemented and evaluated. LÄS MER

5. 29. Evaluation of Aerial Image Stereo Matching Methods for Forest Variable Estimation

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Joakim Svensk; [2017]
   Nyckelord :aerial image stereo matching evaluation forest variable estimation;

   Sammanfattning : This work investigates the landscape of aerial image stereo matching (AISM) methods suitable for large scale forest variable estimation. AISM methods are an important source of remotely collected information used in modern forestry to keep track of a growing forest's condition. LÄS MER

7. 30. Photometric stereo for eye tracking imagery

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

   Författare :Robin Berntsson; [2017]
   Nyckelord :Photometric stereo; head pose estimate; shape from shading;

   Sammanfattning : The goal of this work is to examine the possibility of surface reconstruction from the images produced by the Tobii H5 eye tracker. It starts of by examining classic photometric stereo and its limitations under the illuminator configuration of the eye tracker. LÄS MER