Eigenface face recognition system comprises chiefly of two parts. Firstly eigenface basis are created (procedure of constructing eigenfaces). Then, once the eigenfaces are constructed, face recognition or detection of a new face follows. Figure 1 outlines the general flow of the eigenface face recognition system.
Download full paperFile format: .doc, available for editing
Download file to see previous pages
Figure 3 details these matches considering Amber1 and Andy2 (dashed arrows points to some of the analogous features that may be distinguished from the eigenface).
It was observed (from Figure 1 and 2) that Amber1 have more distinguished features from the eigenface. Thus we can say that the eigenface closely and strongly resembles Amber1. Amber1's reconstructed images (shown in Figure 5 - include the step by step reconstruction of Amber1's face contained in folder "ReconstructedPictures") supports this observation.
Before finding the eigenfaces, however, 'we first need to collect a set of face images. These face images become our database of known faces. We will later determine whether or not an unknown face matches any of these known faces. All face images must be the same size (in pixels), and for our purposes, they must be grayscale (shown in Figure 6), with values ranging from 0 to 255' (Krueger, J, et al, "Obtaining the Eigenface Basis").
Eigenfaces are basically basis vectors for real faces. This can be related straightforwardly to one of the most basic concepts in electrical engineering: Fourier analysis. Fourier analysis discloses that "a sum of weighted sinusoids at differing frequencies can recompose a signal perfectly"! In the same manner a "sum of weighted eigenfaces can seamlessly reconstruct a specific person's face". (Krueger, J, et al, "Obtaining the Eigenface Basis")
According to Krueger, J. & et al, "the eigenface technique is a powerful yet simple solution to the face recognition dilemma. In fact, it is really the most intuitive way to classify a face. As we have shown, old techniques focused on particular features of the face. The eigenface technique uses much more information by classifying faces based on general facial patterns. These patterns include, but are not limited to, the specific features of the f
...Download file to see next pagesRead More
Cite this document
(“Fusion of face recognition method Research Paper”, n.d.)
Fusion of face recognition method Research Paper. Retrieved from https://studentshare.org/science/1534015-fusion-of-face-recognition-method
(Fusion of Face Recognition Method Research Paper)
Fusion of Face Recognition Method Research Paper. https://studentshare.org/science/1534015-fusion-of-face-recognition-method.
“Fusion of Face Recognition Method Research Paper”, n.d. https://studentshare.org/science/1534015-fusion-of-face-recognition-method.
1) Based on the five year research and development contract agreement signed by SolvGen Inc. with Careway Pharma Inc. SolvGen has agreed to use its best scientist and engineers to research and developed enhanced commercial ready versions of a proprietary instrument set under development by CareWay for the last 18 months.
Of all these biometrics, it is facial recognition which is being met with contrasting views and arguments regarding questions of its use, accuracy and usefulness; and since it relates to visual recognition and identification, it offers concrete physical identification, that its use has given rise to concerns of invasion of privacy.
U.S. GAAP vs. IFRS Research & Presentation “Revenue Recognition – Goods and Services”
From a critical perspective, it has often been argued that the GAAP policies currently followed in the US are quite distinct (Simlogic, 2012). Based on this understanding, accounting practices that are followed under the International Financial Reporting Standards (IFRS) system, will also be critically evaluated in contrast with US GAAP in treating revenue recognition transactions related to both goods and services.
The first group of White individuals was subjected to the recognition test. Each took the turn of recognizing which two pictures (1 white face and 1 black face) belong to one person. The speed of recognition was recorded accordingly in terms of time in minutes.
Face recognition is chiefly used in forensic science. The technicalities in recognition process are the ongoing research modalities. The use of face recognition in judiciary involves both the identification part of the process and the confidence part of the eye witness.
It took a long way to create a machine which could understand the words spoken fluently by the users. The extensive research of around 50 years is still unable to create such a system which could understand the human language completely. However, the
The author states that availability of ‘biometrics’ technology provides controls for verifying true identity of an individual. These controls are automated processes that recognize physiological characteristics such as fingerprints, face, eyes, DNA etc. of a living person which are not easy to forget.
Colgate Max Fresh is one of the most uniquely formulated and high in demand product. The unique gel like properties of Colgate Max Fresh not only gives freshness to the breath but also, provides long protection against bacterial agents in mouth. The product is
cial markets are responsible for allocation of capital resources and this process involves a large of decisions taken by fund providers (investors, lenders and financial institutions). Since most of these decisions involve financial information, they are presented in financial
13 Pages(3250 words)Research Paper
GOT A TRICKY QUESTION? RECEIVE AN ANSWER FROM STUDENTS LIKE YOU!
Save Your Time for More Important Things
Let us write or edit the research paper on your topic
"Fusion of face recognition method"
with a personal 20% discount.