3D kinect face recognition: Patch filling techniques

dc.contributor.author	Gaonkar, A.A.
dc.contributor.author	Vetrekar, N.T.
dc.contributor.author	Tilve, V.S.
dc.contributor.author	Gad, R.S.
dc.date.accessioned	2017-07-26T09:53:18Z
dc.date.available	2017-07-26T09:53:18Z
dc.date.issued	2017
dc.identifier.citation	10. Nat. Symp. VLSI and Embedded System, 27-28 Apr 2017. Goa College of Engineering, Farmagudi, Goa. 2017; 6pp.	en_US
dc.identifier.uri	http://irgu.unigoa.ac.in/drs/handle/unigoa/4870
dc.description.abstract	Research in 3D biometric face recognition has established its firm base as it is capable of addressing the issues like the variation in facial poses, angles, occlusions etc. In recent era the low cost, 3D Kinect camera sensor is used for capturing 3D images. The output of 3D Kinect camera is of low resolution thus even a slight change in the parameters or the environmental conditions incorporates information loss i.e. patch in the depth image. In this paper we have formulated some patch removal filters and the recognition & verification rates are computed for the GU-RGBD database.	en_US
dc.subject	Electronics	en_US
dc.title	3D kinect face recognition: Patch filling techniques	en_US
dc.type	Conference article	en_US