The Importance Of Plastic Surgery

1634 Words7 Pages
The increasing acceptability of the face as a biometric for recognition is due to the fact that it is non-intrusive. The task of successfully matching face images obtained before and after plastic surgery is a exigent problem. The extent to which a face is altered depends on the form and number of plastic surgeries performed, and it is complex to model these variations. Existing approaches use learning based methods that are either computationally expensive or rely on a set of training images. Altering facial appearance using surgical procedures has raised a challenge for face recognition algorithms. These procedures alter the facial features and skin texture thereby providing a makeover in the appearance of face. This paper focuses on analyzing…show more content…
This increased media fascination has generated a greater public awareness for cosmetic procedures that propagates an ideal beauty standard that is not attainable by natural. Plastic surgery is a medical specialty concerned with the "correction" or restoration of form and function. Cosmetic or aesthetic surgeries are the best known kinds of plastic surgery, but they are not the only plastic surgery procedures available and limited to. Plastic surgery includes many types of reconstructive surgery, craniofacial surgery, hand surgery, microsurgery, and the treatment of…show more content…
Facial Feature Extraction In the extraction process the input image data will be segmented and then the input data will be transformed into a reduced represented set of features. It is useful on a selection of situations where it helps to stem data information that is not important to the specific image processing task (i.e. background elimination). Transforming the input data into a particular set of features is called as feature extraction. In our proposed system we will be using Local Binary Pattern (LBP) and modified Principal Component Analysis (MPCA) for feature extraction. 1) Local Binary Pattern: Local binary pattern is a nonparametric method and it has aroused demanding interest in image processing, computer vision and related applications. LBP provides a powerful means of texture description. LBP features are gray scale and rotation invariant texture operator. LBP has been exploited for facial representation in different tasks, which not only includes face detection, face recognition, facial expression analysis, demographic (gender, race, age, etc.) classification, but also other related applications. These features are more widely used for expression recognition. LBP features are also applied for face recognition task. LBP feature extraction is faster than any other feature extraction method and it provides good performance, makes this most researched

More about The Importance Of Plastic Surgery

Open Document