A general technique for the recovery of signi cant
image features is presented. The technique is based on
the mean shift algorithm, a simple nonparametric pro-
cedure for estimating density gradients. Drawbacks of
the current methods (including robust clustering) are
avoided. Feature space of any nature can be processed,
and as an example, color image segmentation is dis-
cussed. The segmentation is completely autonomous,
only its class is chosen by the user. Thus, the same
program can produce a high quality edge image, or pro-
vide, by extracting all the signi cant colors, a prepro-
cessor for content-based query systems. A 512 512
color image is analyzed in less than 10 seconds on a
standard workstation. Gray level images are handled
as color images having only the lightness coordinate
Linux in a Nutshell, 5th Edition
By Stephen Figgins, Robert Love, Arnold Robbins, Ellen Siever, Aaron Weber
... ... ... ... ... ... ... .....
Publisher: O Reilly
Pub Date: July 2005
ISBN: 0-596-00930-5
Pages: 944
Over the last few years, Linux has grown both as an operating system and a tool for personal and business use. Simultaneously becoming more user friendly and more powerful as a back-end system, Linux has achieved new plateaus: the newer filesystems have solidified, new commands and tools have appeared and become standard, and the desktop--including new desktop environments--have proved to be viable, stable, and readily accessible to even those who don t consider themselves computer gurus.
The problem of image registration subsumes a number of problems and techniques in multiframe
image analysis, including the computation of optic flow (general pixel-based motion), stereo
correspondence, structure from motion, and feature tracking. We present a new registration
algorithm based on spline representations of the displacement field which can be specialized to
solve all of the above mentioned problems. In particular, we show how to compute local flow,
global (parametric) flow, rigid flow resulting from camera egomotion, and multiframe versions of
the above problems. Using a spline-based description of the flow removes the need for overlapping
correlation windows, and produces an explicit measure of the correlation between adjacent flow
estimates. We demonstrate our algorithm on multiframe image registration and the recovery of 3D
projective scene geometry. We also provide results on a number of standard motion sequences.
這是一個模擬第3類模式地震波的matlab腳本。
This a collection of Matlab scripts that solve the antiplane
(mode III) earthquake dynamic problem with slip-weakening friction,
on a 1D fault embedded in a 2D homogeneous elastic unbounded medium.
The problem is formulated as a boundary integral equation
and the elastodynamic kernels are analytically derived in
the spectral domain (spatial wavenumber).
The method is explained e.g. by Morrysey and Geubelle (1997),
and has been improved and extensively used by Nadia Lapusta,
Alain Cochard, etc.
KeePass for J2ME is a J2ME port of KeePass Password Safe, a free, open source, light-weight and easy-to-use password manager. You can store passwords in a highly-encrypted database on a mobile phone, and view them on the go.
利用SyncML開發(fā)客戶端程序的中間件，J2ME版本。
This library is a collection of basic utilities for: object serialization
and persistence on the RMS, Logging and string manipulation.
This document describes the Funambol JavaME Common API library, which purpose is giving support and
providing basic functionalities to all the other components developed for the J2ME platform. These
functionalities are: a persistent data storage framework, a logging framework, a framework to read different
streams of byte, a thread monitoring system and a set of classes useful for data encoding and string
manipulation. This library may grow in future, as new functions will be seen as common to different J2ME
components.
MegaMek is a networked Java clone of BattleTech, a turn-based sci-fi boardgame for 2+ players. Fight using giant robots, tanks, and/or infantry on a hex-based map.
