Sökning: "Stereo vision"
Visar resultat 16 - 20 av 72 uppsatser innehållade orden Stereo vision.
16. Active Stereo Reconstruction using Deep Learning
Master-uppsats, Linköpings universitet/Institutionen för medicinsk teknikSammanfattning : Depth estimation using stereo images is an important task in many computer vision applications. A stereo camera contains two image sensors that observe the scene from slightly different viewpoints, making it possible to find the depth of the scene. An active stereo camera also uses a laser projector that projects a pattern into the scene. LÄS MER
17. Normalized Convolution Network and Dataset Generation for Refining Stereo Disparity Maps
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Finding disparity maps between stereo images is a well studied topic within computer vision. While both classical and machine learning approaches exist in the literature, they frequently struggle to correctly solve the disparity in regions with low texture, sharp edges or occlusions. LÄS MER
18. GPS-oscillation-robust Localization and Visionaided Odometry Estimation
Master-uppsats, KTH/Maskinkonstruktion (Inst.)Sammanfattning : GPS/IMU integrated systems are commonly used for vehicle navigation. The algorithm for this coupled system is normally based on Kalman filter. However, oscillated GPS measurements in the urban environment can lead to localization divergence easily. LÄS MER
19. The effects of accelerated aging on optical components : Application to vehicle camera systems
Master-uppsats, Linköpings universitet/Institutionen för fysik, kemi och biologiSammanfattning : Companies providing products have many requirements, both from standards and customers, that they need to comply with in order to be able to sell their product. Veoneer AB is a leading automotive machine vision supplier, providing mono, stereo, night vision and driver monitoring systems consisting of both electronic, mechanical and optical components. LÄS MER
20. Visual Tracking Using Stereo Images
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : Visual tracking concerns the problem of following an arbitrary object in a video sequence. In this thesis, we examine how to use stereo images to extend existing visual tracking algorithms, which methods exists to obtain information from stereo images, and how the results change as the parameters to each tracker vary. LÄS MER