Linear approach to motion estimation using generalized camera models
نویسندگان
چکیده
A well-known theoretical result for motion estimation using generalized camera model is that 17 corresponding image rays can be used to solve linearly for the motion of a generalized camera. However, this paper shows that for many common configurations of the generalized camera models (e.g., multi-camera rig, catadioptric camera etc.), such a simple 17-point algorithm does not exist, due to some previously overlooked ambiguities. We further discover that, despite the above ambiguities, we are still able to solve the motion estimation problem effectively by new algorithms proposed in this paper. Our algorithms are essentially linear, easy to implement, and the computational efficiency is very high. Experiments on both real and simulated data show that the new algorithms achieve reasonably high accuracy as well.
منابع مشابه
Parameter Estimation in Spatial Generalized Linear Mixed Models with Skew Gaussian Random Effects using Laplace Approximation
Spatial generalized linear mixed models are used commonly for modelling non-Gaussian discrete spatial responses. We present an algorithm for parameter estimation of the models using Laplace approximation of likelihood function. In these models, the spatial correlation structure of data is carried out by random effects or latent variables. In most spatial analysis, it is assumed that rando...
متن کاملTHE COMPARISON OF TWO METHOD NONPARAMETRIC APPROACH ON SMALL AREA ESTIMATION (CASE: APPROACH WITH KERNEL METHODS AND LOCAL POLYNOMIAL REGRESSION)
Small Area estimation is a technique used to estimate parameters of subpopulations with small sample sizes. Small area estimation is needed in obtaining information on a small area, such as sub-district or village. Generally, in some cases, small area estimation uses parametric modeling. But in fact, a lot of models have no linear relationship between the small area average and the covariat...
متن کاملThe Negative Binomial Distribution Efficiency in Finite Mixture of Semi-parametric Generalized Linear Models
Introduction Selection the appropriate statistical model for the response variable is one of the most important problem in the finite mixture of generalized linear models. One of the distributions which it has a problem in a finite mixture of semi-parametric generalized statistical models, is the Poisson distribution. In this paper, to overcome over dispersion and computational burden, finite ...
متن کاملAn Application of Linear Model in Small Area Estimationof Orange production in Fars province
Methods for small area estimation have been received great attention in recent years due to growing demand for reliable small area estimation that are needed in development planings, allocation of government funds and marking business decisions. The key question in small area estimation is how to obtain reliable estimations when sample size is small. When only a few observations(or even no o...
متن کاملRobust Estimation of Camera Motion Using Optical Flow Models
The estimation of camera motion is one of the most important aspects for video processing, analysis, indexing, and retrieval. Most of existing techniques to estimate camera motion are based on optical flow methods in the uncompressed domain. However, to decode and to analyze a video sequence is extremely time-consuming. Since video data are usually available in MPEG-compressed form, it is desir...
متن کامل