Shape analysis of local facial patches for 3D facial expression recognition
نویسندگان
چکیده
منابع مشابه
Shape analysis of local facial patches for 3D facial expression recognition
In this paper we address the problem of 3D facial expression recognition. We propose a local geometric shape analysis of facial surfaces coupled with machine learning techniques for expression classification. A computation of the length of the geodesic path between corresponding patches, using a Riemannian framework, in a shape space provides a quantitative information about their similarities....
متن کاملFacial expression recognition using salient facial patches
This paper proposes a novel facial expression recognition method composed of two main steps: offline step and online step. The offline step selects the most salient facial patches using mutual information technique. The online step relies on the already selected patches to identify the facial expression using an SVM classifier. In both steps, the LBP operator was used to extract facial expressi...
متن کاملFacial expression recognition based on Local Binary Patterns
Classical LBP such as complexity and high dimensions of feature vectors that make it necessary to apply dimension reduction processes. In this paper, we introduce an improved LBP algorithm to solve these problems that utilizes Fast PCA algorithm for reduction of vector dimensions of extracted features. In other words, proffer method (Fast PCA+LBP) is an improved LBP algorithm that is extracted ...
متن کاملFacial Expression Recognition Based on Structural Changes in Facial Skin
Facial expressions are the most powerful and direct means of presenting human emotions and feelings and offer a window into a persons’ state of mind. In recent years, the study of facial expression and recognition has gained prominence; as industry and services are keen on expanding on the potential advantages of facial recognition technology. As machine vision and artificial intelligence advan...
متن کامل3D Face Analysis for Facial Expression Recognition
In this paper, we investigate the person-independent 3D facial expression recognition. A 3D shape analysis is applied on local regions of 3D face scan. The correspondent regions of different faces under different expressions, are extracted and represented by a set of closed that capture their shapes. A framework is applied to quantify the deformations between curves and compute the geodesic len...
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: Pattern Recognition
سال: 2011
ISSN: 0031-3203
DOI: 10.1016/j.patcog.2011.02.012