Title :
Facial scan change detection
Author :
Nair, Prathap ; Zou, Lifong ; Cavallaro, Andrea
Author_Institution :
Multimedia & Vision Lab., Queen Mary Univ. of London, London, UK
fDate :
Nov. 30 2005-Dec. 1 2005
Abstract :
We present a method for quantifying and localising changes in two facial scans of the same person taken at two different time instants. The method is based on rigid registration and semantic feature extraction, followed by discrepancy computation. The proposed method combines the Landmark Transform (LT) method, which is applied on semantic feature points, and the Iterative Closest Point (ICP) algorithm, which is performed on semantic regions. Finally, the discrepancy between the two scans is computed using the Symmetric Hausdorff distance. Experimental results with both synthetic and real data show the effectiveness of the proposed method which has also been validated by an experienced clinical scientist. Moreover, the method is being used as support in clinical studies on a 3D object database with more than 1000 facial scans.
Keywords :
face recognition; feature extraction; image registration; iterative methods; object detection; 3D object database; ICP algorithm; LT method; discrepancy computation; facial scan change detection; iterative closest point algorithm; landmark transform method; rigid registration; semantic feature extraction; semantic feature points; symmetric Hausdorff distance;
Conference_Titel :
Integration of Knowledge, Semantics and Digital Media Technology, 2005. EWIMT 2005. The 2nd European Workshop on the (Ref. No. 2005/11099)
Conference_Location :
London
Print_ISBN :
0-86341-595-4