Egocentric scene interpretation

In this paper, we present Egocentric Scene Interpretation, an integrated framework that combines depth and semantic maps for 3D scene geometry, semantics, and appearance reconstruction. Furthermore, we introduce a new metric, called the Egocentric Scene Interpretation (ESI) Score, to evaluate the al...

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Detalles Bibliográficos
Autor: Forigua Díaz, Cristhian David
Tipo de recurso: tesis de maestría
Estado:Versión aceptada para publicación
Fecha de publicación:2023
País:Colombia
Institución:Universidad de los Andes
Repositorio:Séneca: repositorio Uniandes
Idioma:inglés
OAI Identifier:oai:repositorio.uniandes.edu.co:1992/73444
Acceso en línea:https://hdl.handle.net/1992/73444
Access Level:acceso abierto
Palabra clave:Egocentric Understanding
3D Reconstruction
Semantic Segmentation
Depth Estimation
Ingeniería
Descripción
Sumario:In this paper, we present Egocentric Scene Interpretation, an integrated framework that combines depth and semantic maps for 3D scene geometry, semantics, and appearance reconstruction. Furthermore, we introduce a new metric, called the Egocentric Scene Interpretation (ESI) Score, to evaluate the alignment between geometry and semantics for 3D scene understanding. In addition to the experimental framework, we propose EgoScene, a diffusionbased approach that leverages temporal consistency in feature extraction for egocentric downstream tasks. We compare EgoScene against transformer-based methods. Our method outperforms transformer-based methods by 26% in the ESI score, establishing the state-of-the-art for Egocentric Scene Interpretation.