Accurate depth-color scene modeling for 3D contents generation with low cost depth cameras

Camplani, Massimo and Mantecón del Valle, Tomás and Salgado Álvarez de Sotomayor, Luis (2012). Accurate depth-color scene modeling for 3D contents generation with low cost depth cameras. In: "19th IEEE International Conference on Image Processing (ICIP)", 30/09/2012 - 03/10/2012, Orlando, Florida, EE.UU. pp. 1741-1744. https://doi.org/10.1109/ICIP.2012.6467216.

Description

Title: Accurate depth-color scene modeling for 3D contents generation with low cost depth cameras
Author/s:
  • Camplani, Massimo
  • Mantecón del Valle, Tomás
  • Salgado Álvarez de Sotomayor, Luis
Item Type: Presentation at Congress or Conference (Article)
Event Title: 19th IEEE International Conference on Image Processing (ICIP)
Event Dates: 30/09/2012 - 03/10/2012
Event Location: Orlando, Florida, EE.UU
Title of Book: 19th IEEE International Conference on Image Processing (ICIP)
Date: 2012
Subjects:
Freetext Keywords: 3D content generation, depth map filtering, bilateral lateral filter, mixture of Gaussians, active depth cameras, Kinect
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Señales, Sistemas y Radiocomunicaciones
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

In this paper, we present a depth-color scene modeling strategy for indoors 3D contents generation. It combines depth and visual information provided by a low-cost active depth camera to improve the accuracy of the acquired depth maps considering the different dynamic nature of the scene elements. Accurate depth and color models of the scene background are iteratively built, and used to detect moving elements in the scene. The acquired depth data is continuously processed with an innovative joint-bilateral filter that efficiently combines depth and visual information thanks to the analysis of an edge-uncertainty map and the detected foreground regions. The main advantages of the proposed approach are: removing depth maps spatial noise and temporal random fluctuations; refining depth data at object boundaries, generating iteratively a robust depth and color background model and an accurate moving object silhouette.

More information

Item ID: 30498
DC Identifier: http://oa.upm.es/30498/
OAI Identifier: oai:oa.upm.es:30498
DOI: 10.1109/ICIP.2012.6467216
Deposited by: Memoria Investigacion
Deposited on: 10 Aug 2014 10:27
Last Modified: 22 Apr 2016 00:46
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