Handbook of Mathematical Models in Computer Vision
نویسندگان
چکیده
Mathematical Modeling and Optimization Institute Task Order 0042, N.Paragios, Y.Chen, and O.Faugeras, Handbook of Mathematical Models in Computer Mathematical Models in Computer Vision, Springer Verlag, (2006), 487-502. Computer Vision: ACCV 2014 (Editors: D. Cremers, I. Reid, H. Saito, M.-S. Chapter in Handbook of Mathematical Models in Computer Vision (Y. Chen O. Translated poisson mixture model for stratification learning. G Haro, G Randall, The Handbook of Mathematical Models of Computer Vision. M Bertalmio, V.
منابع مشابه
Handbook of Mathematical Models in Computer Vision Handbook of Mathematical Models in Computer Vision
Biological vision is a rather fascinating domain of research. Scientists of various origins like biology, medicine, neurophysiology, engineering, mathematics, etc. aim to understand the processes leading to visual perception process and at reproducing such systems. Understanding the environment is most of the time done through visual perception which appears to be one of the most fundamental se...
متن کاملOptical Flow Estimation
This chapter provides a tutorial introduction to gradientbased optical flow estimation. We discuss least-squares and robust estimators, iterative coarse-to-fine refinement, different forms of parametric motion models, different conservation assumptions, probabilistic formulations, and robust mixture models.
متن کاملVariational Segmentation with Shape Priors
We discuss the design of shape priors for variational regionbased segmentation. By means of two different approaches, we elucidate the critical design issues involved: representation of shape, use of perceptually plausible dissimilarity measures, Euclidean embedding of shapes, learning of shape appearance from examples, combining shape priors and variational approaches to segmentation. The over...
متن کاملCurve Propagation, Level Set Methods and Grouping
Image segmentation and object extraction are among the most well addressed topics in computational vision. In this chapter we present a comprehensive tutorial of level sets towards a flexible frame partition paradigm that could integrate edge-drive, regional-based and prior knowledge to object extraction. The central idea behind such an approach is to perform image partition through the propaga...
متن کاملDetection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions
The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2006