SPHERICAL HARMONICAL FEATURES FOR 3D-FACE USING KNN AND SVM CLASSIFIER

In this design Shape-based, Spherical Harmonic Features (SHF) for 3-D FR developed using Matlab with Verilog HDL. This SHFs capture both gross shape and fine surface details of facial surfaces through the energies contained in spherical harmonics at different frequencies. They are computed on a canonical facial representation, namely Spherical Depth Map (SDM). Because the predictive contribution of each feature in SHF is different, especially in the presence of facial expressions and possible partial occlusions. To evaluate the effectiveness of KNN and SVM classifier was conducted on the selected feature set by incrementally increasing the number of features used on the test set until the full list of features was reached.

Reference Paper: Learning the Spherical Harmonic Features for 3-D Face Recognition

Author’s Name: Peijiang Liu, Yunhong Wang, and, Di Huang

Source: IEEE

Year:2013

Request source code for academic purpose REQUEST FORM or contact +91 7904568456 by WhatsApp or info@verilogcourseteam.com, fee applicable.

SIMULATION VIDEO DEMO

PREVIOUS PAGE|NEXT PAGE