Optical Flow Estimation from Monogenic Phase

نویسنده

  • Michael Felsberg
چکیده

The optical flow can be estimated by several different methods, some of them require multiple frames some make use of just two frames. One approach to the latter problem is optical flow from phase. However, in contrast to (horizontal) disparity from phase, this method suffers from the phase being oriented, i.e., classical quadrature filter have a predefined orientation in which the phase estimation is correct and the phase error grows with increasing deviation from the local image orientation. Using the approach of the monogenic phase instead, results in correct phase estimates for all orientations if the signal is locally 1D. This allows to estimate the optical flow with sub-pixel accuracy from a multi-resolution analysis with seven filter responses at each scale. The paper gives a short and easy to comprehend overview about the theory of the monogenic phase and the formula for the displacement estimation is derived from a series expansion of the phase. Some basic experiments are presented.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Dense Optical Flow Estimation from the Monogenic Curvature Tensor

In this paper, we address the topic of estimating two-frame dense optical flow from the monogenic curvature tensor. The monogenic curvature tensor is a novel image model, from which local phases of image structures can be obtained in a multi-scale way. We adapt the combined local and global (CLG) optical flow estimation approach to our framework. In this way, the intensity constraint equation i...

متن کامل

Optical Flow from Local Phase

Optical flow computation has already been done using a wide variety of methods but still there are several of sources of error that cause inexact results. If the monogenic phase vector is used instead of the intensity, the computation of the optical flow becomes more robust against changes in lighting, thus the influence of one source of error can be diminished. In this project three existing m...

متن کامل

Multiscale optical flow computation from the monogenic signal

We have developed an algorithm for the estimation of cardiac motion from medical images. The algorithm exploits monogenic signal theory, recently introduced as an N-dimensional generalization of the analytic signal. The displacement is computed locally by assuming the conservation of the monogenic phase over time. A local affine displacement model replaces the standard translation model to acco...

متن کامل

Algebraically Extended 2d Image Representation

This paper presents an algebraically extended 2D image representation. Combining methods of tensor algebra, monogenic signal and quadrature filter, this novel image representation can be derived as the monogenic extension of a curvature tensor. From it, the monogenic signal and the monogenic curvature signal for modeling intrinsically one and two dimensional (i1D/i2D) structures are obtained as...

متن کامل

Disparity from Monogenic Phase

Disparity estimation is a fundamental problem of computer vision. Besides other approaches, disparity estimation from phase information is a quite wide-spread technique. In the present paper, we have considered the influence of the involved quadrature filters and we have replaced them with filters based on the monogenic signal. The implemented algorithm makes use of a scale-pyramid and applies ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004