Automatic Generation of Facial Expression Using Triangular Geometric Deformation
نویسندگان
چکیده
منابع مشابه
Automatic Generation of Triangular Irregular Networks Using Greedy Cuts
We propose a new approach to the automatic generation of triangular irregular networks from dense terrain models. We have developed and implemented an algorithm based on the greedy principle used to compute minimum-link paths in polygons. Our algorithm works by taking greedy cuts (\bites") out of a simple closed polygon that bounds the yet-to-be triangulated region. The algorithm starts with a ...
متن کاملautomatic verification of authentication protocols using genetic programming
implicit and unobserved errors and vulnerabilities issues usually arise in cryptographic protocols and especially in authentication protocols. this may enable an attacker to make serious damages to the desired system, such as having the access to or changing secret documents, interfering in bank transactions, having access to users’ accounts, or may be having the control all over the syste...
15 صفحه اولThe Next Generation of Automatic Facial Expression Measurement
The research presented in the previous chapter demonstrated proof that automatic recognition of facial actions in indoor environments is achievable with current technology. The system we explored used general purpose machine learning techniques that can be applied to recognition of any facial action provided enough data is available. One of the most useful aspects of the experiment was to help ...
متن کاملAutomatic Facial Expression Recognition Using 3D Faces
Automatic facial expression recognition has gained much attention during the last decade because of its potential application in areas such as more engaging human-computer interfaces. Automatic facial expression recognition is a sub-area of face analysis research that is based heavily on methods of computer vision, machine learning, and image processing. Many efforts either to create a novel or...
متن کاملDeep Representation of Facial Geometric and Photometric Attributes for Automatic 3D Facial Expression Recognition
In this paper, we present a novel approach to automatic 3D Facial Expression Recognition (FER) based on deep representation of facial 3D geometric and 2D photometric attributes. A 3D face is firstly represented by its geometric and photometric attributes, including the geometry map, normal maps, normalized curvature map and texture map. These maps are then fed into a pre-trained deep convolutio...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Journal of Applied Research and Technology
سال: 2014
ISSN: 1665-6423
DOI: 10.1016/s1665-6423(14)71671-2