Sökning: "3D Face Reconstruction"
Visar resultat 1 - 5 av 8 uppsatser innehållade orden 3D Face Reconstruction.
1. Replacing Objects in Point Cloud stream with Real-time Meshes using Semantic Segmentation
Master-uppsats, Blekinge Tekniska HögskolaSammanfattning : Background: The evolving landscape of 3D data processing, particularly pointcloud manipulation, is pivotal in numerous applications ranging from architecturaldesign to spatial analysis. Traditional methods, primarily mesh generation from point clouds, face challenges in adapting to complex real-world scenarios. LÄS MER
2. Optimizing Realistic 3D Facial Models for VR Avatars through Mesh Simplification
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The use of realistic 3D avatars in Virtual Reality (VR) has gained significant traction in applications such as telecommunication and gaming, offering immersive experiences and face-to-face interactions. However, standalone VR devices often face limitations in computational resources and real-time rendering requirements, necessitating the optimization of 3D models through mesh simplification to enhance performance and ensure a smooth user experience. LÄS MER
3. Resurrection of Our Ancestors : 3D face reconstruction of historical images and its use in face recognition
Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3Sammanfattning : In the field of face recognition one challenge is to recognize individuals in photographs taken of the person in profile. In this project it was investigated whether 3D face reconstructions could improve the face recognition results in these cases. LÄS MER
4. Photometric stereo for eye tracking imagery
Master-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska högskolanSammanfattning : 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
5. Data Augmentation by Using Object Shape Reconstruction
Master-uppsats, Lunds universitet/Matematik LTHSammanfattning : Achieving high performance face recognition often requires large manually labeled training datasets. As such datasets can be difficult to obtain, we investigate whether smaller datasets can be augmented synthetically in order to increase performance. We use 3D morphable models to create 3D reconstructions of faces from only a single image. LÄS MER