代码搜索：ESTIMATION
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www.eeworm.com/read/266952/11200203
txt changes.txt
Changes in Version JM 10.2 (since JM 10.1)
------------------------------------------
- encoder: fast subpixel motion estimation for EPZS [JVT-Q079] (AT)
- encoder: SI picture implementation (ES)
www.eeworm.com/read/248593/12551171
txt changes.txt
Changes in Version JM 10.2 (since JM 10.1)
------------------------------------------
- encoder: fast subpixel motion estimation for EPZS [JVT-Q079] (AT)
- encoder: SI picture implementation (ES)
www.eeworm.com/read/104466/15691584
c motion_est_template.c
/*
* Motion estimation
* Copyright (c) 2002-2004 Michael Niedermayer
*
* This library is free software; you can redistribute it and/or
* modify it under the terms of the GNU Lesser General Publi
www.eeworm.com/read/389324/8533393
m statusbar.m
%Display a status/progress bar and inform about the elapsed
%as well as the remaining time (linear estimation).
%
%Synopsis:
%
% f=statusbar
% Get all status/progress bar handles.
%
% f=
www.eeworm.com/read/389318/8533767
m r_gmmest.m
% R_GMMEST: GMM estimation under linear or nonlinear resrictions
% ---------------------------------------------------------------
% SYNTAX: [theta_final, J_test, probJ, S_final, final_moments,...
www.eeworm.com/read/188503/8534633
h mmxsse_motion.h
/* Optimised lowlevel motion estimation routines for mpeg2enc */
/* (C) 2000/2001 Andrew Stevens */
/* This is free software; you can redistribute it
* and/or modify it under the terms of the GNU
www.eeworm.com/read/430318/8756731
txt readme.txt
Block Matching Algorithms for Motion Estimation
This project contains the project report and source code by Aroh Barjatya for Digital Image Processing Class at Utah State University.
Following i
www.eeworm.com/read/386050/8768891
m testp.m
%TESTP Error estimation of Parzen classifier
%
% E = TESTP(A,H,T)
% E = TESTP(A,H)
%
% INPUT
% A input dataset
% H matrix smoothing parameters (optional, def: determined via
%
www.eeworm.com/read/429797/8788465
m estimatenoise.m
function noisevar = estimatenoise(X,varargin)
% estimatenoise: additive noise estimation from a time series
% usage: noisevar = estimatenoise(X)
% usage: noisevar = estimatenoise(X,dim)
% usage: n
www.eeworm.com/read/283824/8986558
m homography2motion.m
% [Sol, H] = homography2Motion(p, q)
% Homography estimation between views of a plane
% decompose it into rotation and translation and plane normal
% p - retinal (calibrated) coordinates of the f