3D Human pose estimation from egocentric inputs

Egocentric pose estimation is essential for developing embodied AI systems capable of interacting naturally with humans and their environments. This thesis addresses the challenges of first-person pose estimation through a series of interconnected studies. The first study, BoDiffusion, presents a ge...

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Autores:
Escobar Palomeque, María Camila
Tipo de recurso:
Doctoral thesis
Fecha de publicación:
2024
Institución:
Universidad de los Andes
Repositorio:
Séneca: repositorio Uniandes
Idioma:
eng
OAI Identifier:
oai:repositorio.uniandes.edu.co:1992/75400
Acceso en línea:
https://hdl.handle.net/1992/75400
Palabra clave:
Egocentric vision
Pose estimation
Pose forecasting
Ingeniería
Rights
openAccess
License
Attribution-NonCommercial-NoDerivatives 4.0 International