Robust structural identification via polyhedral template matching
نویسندگان
چکیده
منابع مشابه
Real Time Robust Template Matching
One of the most popular methods to extract useful informations from an image sequence is the template matching approach. In this well known method the tracking of a certain feature or target over time is based on the comparison of the content of each image with a sample template. In this article, we propose an efficient robust template matching algorithm that is able to track targets in real ti...
متن کاملAudio signal identification via pattern capture and template matching
This research reports on a system able to classify dierent signals containing auditive information based on capture of small signal segments present in speci®c types of sound. After using a Haar wavelet transform at the preprocessing stage, a neural network known as the O-algorithm compares segments from candidate audio signals against prede®ned templates stored in the network. The classi®cati...
متن کاملFRoTeMa: Fast and Robust Template Matching
Template matching is one of the most basic techniques in computer vision, where the algorithm should search for a template image T in an image to analyze I. This paper considers the rotation, scale, brightness and contrast invariant grayscale template matching problem. The proposed algorithm uses a sufficient condition for distinguishing between candidate matching positions and other positions ...
متن کاملFast Method for Robust Template Matching
In this paper, we propose a fast algorithm for speeding up the process of template matching that uses M-estimators for dealing with outliers. We propose a particular image hierarchy called the p-pyramid that can be exploited to generate a list of ascending lower bounds of the minimal matching errors when a non-decreasing robust error measure is adopted. Then, the set of lower bounds can be used...
متن کاملRobust portfolio selection with polyhedral ambiguous inputs
Ambiguity in the inputs of the models is typical especially in portfolio selection problem where the true distribution of random variables is usually unknown. Here we use robust optimization approach to address the ambiguity in conditional-value-at-risk minimization model. We obtain explicit models of the robust conditional-value-at-risk minimization for polyhedral and correlated polyhedral am...
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: Modelling and Simulation in Materials Science and Engineering
سال: 2016
ISSN: 0965-0393,1361-651X
DOI: 10.1088/0965-0393/24/5/055007