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Utilization of spatial information for point cloud segmentation

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4 Author(s)
Oytun Akman ; Delft Biorobotics Laboratory, Department of BioMechanical Engineering, Delft University of Technology, 2628 CD, Delft, The Netherlands ; Neslihan Bayramoglu ; A. Aydin Alatan ; Pieter Jonker

Object segmentation has an important role in the field of computer vision for semantic information inference. Many applications such as 3DTV archive systems, 3D/2D model fitting, object recognition and shape retrieval are strongly dependent to the performance of the segmentation process. In this paper we present a new algorithm for object localization and segmentation based on the spatial information obtained via a Time-of-Flight (TOF) camera. 3D points obtained via a TOF camera are projected onto the major plane representing the planar surface on which the objects are placed. Afterward, the most probable regions that an item can be placed are extracted by using kernel density estimation method and 3D points are segmented into objects. Also some well-known segmentation algorithms are tested on the 3D (depth) images.

Published in:

2010 3DTV-Conference: The True Vision - Capture, Transmission and Display of 3D Video

Date of Conference:

7-9 June 2010