In:
Journal on Interactive Systems, Sociedade Brasileira de Computacao - SB, Vol. 4, No. 2 ( 2014-01-29), p. 1-
Abstract:
In this paper we present an extension to the KinectFusion algorithm that allows a robust real-time face tracking and modeling using the Microsoft’s Kinect sensor. This is achieved changing two steps of the original algorithm: pre-processing and tracking. In the former, we use a real-time face detection algorithm to segment the face from the rest of the image. In the latter, we use a real-time head pose estimation to give a new initial guess to the Iterative Closest Point (ICP) algorithm when it fails and an algorithm to solve occlusion.Our approach is evaluated in a markerless augmented reality (MAR) system. We show that this approach can reconstruct faces and handle more face pose changes and variations than the original KinectFusion’s tracking algorithm. In addition, we show that the realism of the system is enhanced as we solve the occlusion problem efficiently at shader level.
Type of Medium:
Online Resource
ISSN:
2236-3297
DOI:
10.5753/jis.2013.630
Language:
English
Publisher:
Sociedade Brasileira de Computacao - SB
Publication Date:
2014
detail.hit.zdb_id:
2639682-8
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