Sökning: "stereo pair"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden stereo pair.

1. 1. Detecting Non-Natural Objects in a Natural Environment using Generative Adversarial Networks with Stereo Data

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Nils Gehlin; Martin Antonsson; [2020]
   Nyckelord :deep learning; anomaly detection; GAN; BergGAN; pGAN; stereo; non-natural objects; natural environment; multi-modal anomaly detection;

   Sammanfattning : This thesis investigates the use of Generative Adversarial Networks (GANs) for detecting images containing non-natural objects in natural environments and if the introduction of stereo data can improve the performance. The state-of-the-art GAN-based anomaly detection method presented by A. Berget al. in [5] (BergGAN) was the base of this thesis. LÄS MER

3. 2. Monocular Depth Prediction in Deep Neural Networks

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

   Författare :Guanqian Tang; [2019]
   Nyckelord :Convolutional neural networks; monocular depth prediction; ResNet; DenseNet; ; Konvolutional neurala nätverk; monokulär djupförutsägelse; ResNet; DenseNet; ;

   Sammanfattning : With the development of artificial neural network (ANN), it has been introduced in more and more computer vision tasks. Convolutional neural networks (CNNs) are widely used in object detection, object tracking, and semantic segmentation, achieving great performance improvement than traditional algorithms. LÄS MER

4. 3. 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. 4. Performance Evaluation of Stereo Reconstruction Algorithms on NIR Images

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

   Författare :Dario Vidas; [2016]
   Nyckelord :stereo vision; stereo reconstruction algorithms; near-infrared images; algorithm performance evaluation;

   Sammanfattning : Stereo vision is one of the most active research areas in computer vision. While hundreds of stereo reconstruction algorithms have been developed, little work has been done on the evaluation of such algorithms and almost none on evaluation on Near-Infrared (NIR) images. LÄS MER

7. 5. Automatic projector warping using a multiple view camera approach

   Master-uppsats, KTH/Optimeringslära och systemteori

   Författare :Viktor Åberg; [2016]
   Nyckelord :;

   Sammanfattning : The main objective of this master thesis was to construct an automatic method for calibrating a projector to display images on a curved screen without the images looking deformed from a certain intended viewing position. Since the method was thought to be used in a flight simulator, where the intended viewing position has an occluded view of the screen, the method needed to be able to handle these occlusions in some way, and the proposed solution was to use two cameras for the calibration; one in the intended viewing position and one with a more clear sight of the screen. LÄS MER