Motion from point matches: Multiplicity of solutions
نویسندگان
چکیده
منابع مشابه
Solving for Structure, Motion and Calibration, from Uncalibrated Point Matches with Maximum-likelihood-like Algorithms
We present in this paper, two versions of an algorithm for estimating structure, motion and calibration, from uncalibrated point matches. Contrarily to most current algorithms, it does not solve for an exact solution, searching instead for a maximum-likelihood estimate. It does not use the projective geometry framework, but rather, a simple pinhole-camera model that avoids to intoduce intermedi...
متن کاملExact solutions for Fokker-Plank equation of geometric Brownian motion with Lie point symmetries
In this paper Lie symmetry analysis is applied to find new solution for Fokker Plank equation of geometric Brownian motion. This analysis classifies the solution format of the Fokker Plank equation.
متن کاملDetermining motion from 3D line segment matches: a comparative study
Line segment representations Motion estimation is a very important problem in dynamic scene analysis. Although it is easier to estimate motion parameters from 3D data than from 2D images, it is not trivial since the 3D data we have are almost always corrupted by noise. This article presents a comparative study on motion estimation from 3D line segments. Two representations of line segments and ...
متن کاملAnalysis of Player Motion in Sport Matches
The system for analysis of player motion during sport matches, developed at University of Ljubljana is presented. The system allows for non-intrusive measurement of positions of all players in indoor sports through whole match, using only inexpensive video equipment cameras mounted on the ceiling of the sports hall. Tracking process (obtaining trajectories from videos) is automatic and only sup...
متن کاملExact Multiplicity of Solutions Andglobal
We discuss the exact number of positive solutions of u+f(u) = 0 with homogeneous Dirichlet boundary condition and on the ball domain. The nonlinearity here includes f(u) = u q + u p for 0 < q < 1 < p n n?2 .
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: International Journal of Computer Vision
سال: 1990
ISSN: 0920-5691,1573-1405
DOI: 10.1007/bf00054997