Edge-based depth gradient refinement for 2D to 3D learned prior conversion

Herrera Conejero, José Luis; Blanco Adán, Carlos Roberto del y García Santos, Narciso (2015). Edge-based depth gradient refinement for 2D to 3D learned prior conversion. En: "3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)", 08/07/2015 - 10/07/2015, Lisbon, Portugal. pp. 1-4. https://doi.org/10.1109/3DTV.2015.7169364.

Descripción

Título: Edge-based depth gradient refinement for 2D to 3D learned prior conversion
Autor/es:
  • Herrera Conejero, José Luis
  • Blanco Adán, Carlos Roberto del
  • García Santos, Narciso
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Fechas del Evento: 08/07/2015 - 10/07/2015
Lugar del Evento: Lisbon, Portugal
Título del Libro: 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video (3DTV-CON)
Fecha: 2015
Materias:
Palabras Clave Informales: 2D-to-3D conversion, depth maps, depth prior, clustering, machine learning
Escuela: E.T.S.I. Telecomunicación (UPM)
Departamento: Señales, Sistemas y Radiocomunicaciones
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

2D-to-3D conversion is an important task for reducing the current gap between the number of 3D displays and the available 3D content. Here, we present an automatic 2D-to-3D image conversion approach based on machine learning principles. Stemming from the hypothesis that images with a similar structure have likely a similar 3D structure, the depth of a query color image is estimated using a color plus depth image dataset. Clusters with common scene structure are computed offline. Then, a matching process is performed to select the cluster centroid which is the most similar to the query image. A prior depth map is computed fusing the depth maps of the images in this cluster. Then, an edge-based post-processing stage is applied to the prior depth map estimation to enhance the final scene depth estimation. Promising results are obtained in two commonly used databases achieving a similar performance to other much complex state-of-the-art approaches.

Más información

ID de Registro: 42761
Identificador DC: http://oa.upm.es/42761/
Identificador OAI: oai:oa.upm.es:42761
Identificador DOI: 10.1109/3DTV.2015.7169364
Depositado por: Memoria Investigacion
Depositado el: 16 Jul 2016 10:53
Ultima Modificación: 16 Jul 2016 10:53
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