Detecting 3-D motion field from range image sequences

نویسندگان

  • Krishnendu Chaudhury
  • Rajiv Mehrotra
  • C. Srinivasan
چکیده

An algorithm for computing three-dimensional (3-D) velocity field and motion parameters from a range image sequence is presented. It is based on a new integral 3-D rigid motion invariant feature-the trace of a 3x3 "feature matrix" related to the moment of inertia tensor. This trace can be computed at every point of a moving surface and provides a quantitative measure of the local shape of the surface. Based on the feature's conservation along the trajectory of every moving point, a 3-D Flow Constraint Equation is formulated and solved for the velocity field. The robustness of the feature in presence of noise and discontinuity is analyzed.

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

Occlusion Boundary Detection Using Pseudo-depth

We address the problem of detecting occlusion boundaries from motion sequences, which is important for motion segmentation, estimating depth order, and related tasks. Previous work by Stein and Hebert has addressed this problem and obtained good results on a benchmarked dataset using two-dimensional image cues, motion estimation, and a global boundary model [1]. In this paper we describe a meth...

متن کامل

Multi-level Data Fusion for the Detection of Targets using multi-spectral Image Sequences

This paper presents an approach to the long range automatic detection of vehicles, using multi-sensor image sequences. The method was tested on a database of multi-spectral image sequences, acquired under diverse operational conditions. The approach consists of two parts. The rst part uses a semi-supervised approach, based on texture parameters, for detecting stationary targets. For each type o...

متن کامل

3-D Motion Estimation Using Linear and Bilinear Constraints

This paper examines the use of the EM algorithm to perform motion segmentation on image sequences that contain independent object motion. The input data are linear constraints on 3-D translational motion and bilinear constraints on 3-D translation and rotation, derived from computed optical flow using subspace methods. The problems of outlier detection, deciding how many processes, and the init...

متن کامل

Fast Motion Estimation on Range Image Sequences Acquired with a 3-D Camera

This paper presents a computationally efficient approach to estimate translational 3-D motion from range images sequences, that is adapted from a 2-D motion estimation algorithm. An implementation of the algorithm is evaluated for computational efficiency as well as robustness in the presence of noise for both synthetic and real-life range data acquired with a PMD device, a high-speed low-resol...

متن کامل

Computation Optical Flow Using Pipeline Architecture

Accurate estimation of motion from time-varying imagery has been a popular problem in vision studies, This information can be used in segmentation, 3D motion and shape recovery, target tracking, and other problems in scene analysis and interpretation. We have presented a dynamic image model for estimating image motion from image sequences, and have shown how the solution can be obtained from a ...

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:
  • IEEE transactions on systems, man, and cybernetics. Part B, Cybernetics : a publication of the IEEE Systems, Man, and Cybernetics Society

دوره 29 2  شماره 

صفحات  -

تاریخ انتشار 1999