Identification of human faces based on isodensity maps
Pattern Recognition
Feature extraction from faces using deformable templates
International Journal of Computer Vision
Automatic Interpretation and Coding of Face Images Using Flexible Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Face Recognition by Elastic Bunch Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
Support Vector Machines for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Analytic-to-Holistic Approach for Face Recognition Based on a Single Frontal View
IEEE Transactions on Pattern Analysis and Machine Intelligence
Integrating Faces and Fingerprints for Personal Identification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Robot Vision
Digital Image Processing
Face Recognition: Features Versus Templates
IEEE Transactions on Pattern Analysis and Machine Intelligence
System for the recognition of human faces
IBM Systems Journal
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This research investigates the techniques using image subtraction to find flaws in the cosmetic products. The technique developed in this research moves the perfect image to overlap with the flawed image. Then, the perfect and the flawed images are aligned in the same orientation. After the perfect image has overlapped with the flawed image, the flawed image is subtracted from the perfect image. If there are flaws in the flawed image, after the image subtraction, the flaws will remain in the subtracted result. From beginning to end the inspection is done by machine automatically. There is no further human effort involved. The technique developed in this research can find the flaws in two-dimensional images very accurately. This paper explains the method using the second moment to find the orientations of cosmetic products. By the orientations of the cosmetic products, the perfect cosmetic product and the flawed cosmetic product can be aligned in the same orientation. A detailed process of image rotation is addressed in this paper.