Sökning: "depth camera"
Visar resultat 1 - 5 av 179 uppsatser innehållade orden depth camera.
1. Using NeRF- and Mesh-Based Methods to Improve Visualisation of Point Clouds
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : In recent years, the field of generating synthetic images from novel view points has seen some major improvements. Most importantly with the publication of Neural Radiance Fields allowing for extremely detailed and accurate 3D novel views. LÄS MER
2. Deep Learning-Based Depth Estimation Models with Monocular SLAM : Impacts of Pure Rotational Movements on Scale Drift and Robustness
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : 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
3. Real-time Autofocus Algorithm in Laser Speckle Contrast Imaging
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Microcirculation is defined as the blood flow in the smallest blood vessels. Laser speckle contrast imaging (LSCI) is a full field imaging technique that provides instantaneous 2-D perfusion maps of illuminated tissues based on speckle contrast. LÄS MER
4. Investigation of Roughness Effects on Heat Transfer of Upscaled Additively Manufactured Channels in the Turbulent Region Using Infrared Thermography
Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)Sammanfattning : Additive manufacturing (AM) has largely improved design freedom compared with traditional manufacturing processes such as casting and milling. The layer-by-layer workflow makes it possible to produce objects with much more complex shapes and structures. LÄS MER
5. Visual Bird's-Eye View Object Detection for Autonomous Driving
Master-uppsats, Linköpings universitet/DatorseendeSammanfattning : In the field of autonomous driving a common scenario is to apply deep learningmodels on camera feeds to provide information about the surroundings. A recenttrend is for such vision-based methods to be centralized, in that they fuse imagesfrom all cameras in one big model for a single comprehensive output. LÄS MER