Empirical mode decomposition-based facial pose estimation inside video sequences
نویسندگان
چکیده
منابع مشابه
Empirical Mode Decomposition based Adaptive Filtering for Orthogonal Frequency Division Multiplexing Channel Estimation
This paper presents an empirical mode decomposition (EMD) based adaptive filter (AF) for channel estimation in OFDM system. In this method, length of channel impulse response (CIR) is first approximated using Akaike information criterion (AIC). Then, CIR is estimated using adaptive filter with EMD decomposed IMF of the received OFDM symbol. The correlation and kurtosis measures are used to sel...
متن کاملFast Pose Estimation from Silhouettes in Video Sequences
We address the problem of model-based pose estimation from image sequences. While most methods build on local features, we use object silhouettes only, which are weaker, but considerably more robust cues. Without initialization of the pose, we are able to track the pose of rigid models through a video sequence, despite varying texture, illumination and appearance. Additionally our method handle...
متن کاملA New Two-dimensional Empirical Mode Decomposition Based on Classical Empirical Mode Decomposition and Radon Transform
Empirical mode decomposition is a method to decompose signals proposed by N.E.Huang et. al in 1998. It can extract adaptively the oscillatory modes at each time from a complex signal, namely it can decompose the signal into a finite (often less) number of intrinsic mode functions (IMFs). With Hilbert transform, the IMFs yield instantaneous frequencies as functions of time, that give sharp ident...
متن کاملEmpirical Mode Decomposition-based Face Recognition System
In this work we explore the multivariate empirical mode decomposition combined with a Neural Network classifier as technique for face recognition tasks. Images are simultaneously decomposed by means of EMD and then the distance between the modes of the image and the modes of the representative image of each class is calculated using three different distance measures. Then, a neural network is t...
متن کاملAn optimization based empirical mode decomposition scheme
The empirical mode decomposition (EMD) has been developed by N.E. Huang et al. in 1998 as an iterative method to decompose a nonlinear and nonstationary univariate function additively into multiscale components. These components called intrinsic mode functions (IMFs) are constructed such that they are approximately orthogonal to each other with respect to the L2 inner product. Moreover, the com...
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: Optical Engineering
سال: 2010
ISSN: 0091-3286
DOI: 10.1117/1.3359510