3D face recognition with wireless transportation

Show simple item record

dc.contributor.advisor Lu , Mi en_US
dc.contributor.committeeMember Klappenecker , Andreas en_US
dc.creator Zou , Le en_US
dc.date.accessioned 2010 -01 -14T23 :59 :50Z
dc.date.accessioned 2014 -02 -19T19 :36 :45Z
dc.date.available 2010 -01 -14T23 :59 :50Z
dc.date.available 2014 -02 -19T19 :36 :45Z
dc.date.created 2007 -08 en_US
dc.date.issued 2009 -05 -15 en_US
dc.identifier.uri http : / /hdl .handle .net /1969 .1 /ETD -TAMU -1448
dc.description.abstract In this dissertation , we focus on two related parts of a 3D face recognition system with wireless transportation . In the ?rst part , the core components of the system , namely , the feature extraction and classi ?cation component , are introduced . In the feature extraction component , range images are taken as inputs and processed in order to extract features . The classi ?cation component uses the extracted features as inputs and makes classi ?cation decisions based on trained classi ?ers . In the second part , we consider the wireless transportation problem of range images , which are captured by scattered sensor nodes from target objects and are forwarded to the core components (i .e . , feature extraction and classi ?cation components ) of the face recognition system . Contrary to the conventional de ?nition of being a transducer , a sensor node can be a person , a vehicle , etc . The wireless transportation component not only brings ?exibility to the system but also makes the ?proactive ? face recognition possible . For the feature extraction component , we ?rst introduce the 3D Morphable Model . Then a 3D feature extraction algorithm based on the 3D Morphable Model is presented . The algorithm is insensitive to facial expression . Experimental results show that it can accurately extract features . Following that , we discuss the generic face warping algorithm that can quickly extract features with high accuracy . The proposed algorithm is robust to holes , facial expressions and hair . Furthermore , our experimental results show that the generated features can highly di ?erentiate facial images . For the classi ?cation component , a classi ?er based on Mahalanobis distance is introduced . Based on the classi ?er , recognition performances of the extracted features are given . The classi ?cation results demonstrate the advantage of the features from the generic face warping algorithm . For the wireless transportation of the captured images , we consider the location -based wireless sensor networks (WSN ) . In order to achieve e ?cient routing perfor ?mance , a set of distributed stateless routing protocols (PAGER ) are proposed for wireless sensor networks . The loop -free and delivery -guaranty properties of the static version (PAGER -S ) are proved . Then the performance of PAGER protocols are compared with other well -known routing schemes using network simulator 2 (NS2 ) . Simulation results demonstrate the advantages of PAGER . en_US
dc.format.medium electronic en_US
dc.format.mimetype application /pdf en_US
dc.language.iso en _US en_US
dc.subject Face recognition en_US
dc.title 3D face recognition with wireless transportation en_US
dc.type Book en
dc.type.genre Electronic Dissertation en_US
dc.type.material text en_US
dc.format.digitalOrigin born digital en_US


3D face recognition with wireless transportation. Available electronically from http : / /hdl .handle .net /1969 .1 /ETD -TAMU -1448 .

Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace

Advanced Search