Optic flow segmentation as an ill-posed and maximum likelihood problem
نویسندگان
چکیده
منابع مشابه
روش‌های تجزیه مقادیر منفرد منقطع و تیخونوف تعمیم‌یافته در پایدارسازی مسئله انتقال به سمت پائین
The methods applied to regularization of the ill-posed problems can be classified under “direct” and “indirect” methods. Practice has shown that the effects of different regularization techniques on an ill-posed problem are not the same, and as such each ill-posed problem requires its own investigation in order to identify its most suitable regularization method. In the geoid computations witho...
متن کاملMaximum Probability and Relative Entropy Maximization. Bayesian Maximum Probability and Empirical Likelihood
Works, briefly surveyed here, are concerned with two basic methods: Maximum Probability and Bayesian Maximum Probability; as well as with their asymptotic instances: Relative Entropy Maximization and Maximum Non-parametric Likelihood. Parametric and empirical extensions of the latter methods – Empirical Maximum Maximum Entropy and Empirical Likelihood – are also mentioned. The methods are viewe...
متن کاملPenalized Maximum Likelihood Estimation for Univariate Normal Mixture Distributions
Due to singularities of the likelihood function, the maximum likelihood approach for the estimation of the parameters of normal mixture models is an acknowledged ill posed optimization problem. Ill posedness is solved by penalizing the likelihood function. In the Bayesian framework, it amounts to incorporating an inverted gamma prior in the likelihood function. A penalized version of the EM alg...
متن کاملRegularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation
In image processing applications, image intensity is often measured via the counting of incident photons emitted by the object of interest. In such cases, image data-noise is accurately modeled by a Poisson distribution. This motivates the use of Poisson maximum likelihood estimation for image reconstruction. However, when the underlying model equation is ill-posed, regularization is needed. Re...
متن کاملPerception des objets en mouvementComposition bayésienne du flux optique et du mouvement de l'observateur. (Perception of shapes from motionBayesian combination of optic flow and self-motion)
Perception can be seen as collecting and confronting various pieces of information inorder to understand the environment. Man uses many sensory modalities such as vision, touch, audition,or proprioception. Various kind of information can be conveyed by each sense. For example vision isabout texture, colour, shapes or movement. Optic flow is the displacement of the image on the retin...
متن کاملذخیره 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 ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Image Vision Comput.
دوره 3 شماره
صفحات -
تاریخ انتشار 1985