Shape and Motion from Linear Features

نویسندگان

  • Warren F. Gardner
  • Daryl T. Lawton
چکیده

This paper introduces a technique for extracting structure and motion using directionally selective matches between linear features. A world-centered coordinate system is used to make these computations without the intermediate calculation of depth. In order to constrain the possible structure and motion conngurations, we assume that the three-dimensional direction of gravity relative to each image frame is known. The direction of gravity, along with the directionally selective linear feature matches, form a set of quadratic equations which can be used to determine structure and motion.

برای دانلود 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

A study on the use of perturbation technique for analyzing the nonlinear forced response of piezoelectric microcantilevers

In this paper, a comparison is made between direct and indirect perturbation approaches to solve the non-linear vibration equations of a piezoelectrically actuated cantilever microbeam. In this comparison, the equation of motion is considered according to Euler-Bernoulli theory with considering the non-linear geometric and inertia terms resulted from shortening effect. In the direct perturbatio...

متن کامل

Derivation of Equation of Motion for the Pillow-Shape Seismic Base Isolation System

Rolling-based seismic isolation systems, in which rollers of circular or non-circular section are used, are less expensive and easier to manufacture. However, this type of isolation suffers from either lack of restoring or re-centering capability, or weakness against uplift forces. To resolve the first shortcoming the use of elliptical as well as pillow-shape rolling parts has been suggested, a...

متن کامل

Non-rigid structure from motion using ranklet-based tracking and non-linear optimization

In this paper, we address the problem of estimating the 3D structure and motion of a deformable object given a set of image features tracked automatically throughout a video sequence. Our contributions are twofold: firstly, we propose a new approach to improve motion and structure estimates using a non-linear optimization scheme and secondly we propose a tracking algorithm based on ranklets, a ...

متن کامل

Factorization methods for structure from motion

In this article we present an overview of factorization methods for recovering structure and motion from image sequences. We distinguish these methods from general non-linear algorithms primarily by their bilinear formulation in motion and shape parameters. The bilinear formulation makes possible powerful and e cient solution techniques including Singular Value Decomposition. We show how factor...

متن کامل

Recovering 3D shape and motion from image streams using nonlinear least squares

The simultaneous recovery of 3D shape and motion from image sequences is one of the more difficult problems in computer vision. Classical approaches to the problem rely on using algebraic techniques to solve for these unknowns given two or more images. More recently, a batch analysis of image streams (the temporal tracks of distinguishable image features) under orthography has resulted in highl...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 1993