-
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.
標簽：
image
registration
multiframe
techniques
上傳時間：
2016-01-20
上傳用戶：520
-
Kalman filter toolbox written by Kevin Murphy, 1998.
See http://www.ai.mit.edu/~murphyk/Software/kalman.html for details.
Installation
------------
1. Install KPMtools from http://www.ai.mit.edu/~murphyk/Software/KPMtools.html
3. Assuming you installed all these files in your matlab directory, In Matlab type
addpath matlab/KPMtools
addpath matlab/Kalman
Demos
-----
See Tracking_demo.m for a demo of 2D Tracking.
See learning_demo.m for a demo of parameter estimation using EM.
較早版本的kalman濾波matlab源碼，適合研讀。
標簽：
Software
toolbox
murphyk
written
上傳時間：
2016-05-13
上傳用戶：541657925
-
Sensing in autonomous vehicles is a growing field due to a wide array of military and reconnaissance applications. The Adaptive Communications and Signals Processing Group (ACSP) research group at Cornell specializes in studying various aspects of autonomous vehicle control. Previously, ACSP has examined video sensing for autonomous control. Our goal is to build on their previous research to incorporate audio source Tracking for autonomous control.
標簽：
reconnaissance
autonomous
vehicles
military
上傳時間：
2016-06-29
上傳用戶：chens000
-
Digital Signal and Image Processing Using MATLAB
The most important theoretical aspects of image and signal processing (ISP) for both deterministic and random signals are covered in this guide to using MATLAB® . The discussion is also supported by exercises and computer simulations relating to real applications such as speech processing and fetal-heart–rhythm Tracking, and more than 200 programs and functions for numerical experiments are provided with commentary.
標簽：
theoretical
Processing
important
Digital
上傳時間：
2016-07-08
上傳用戶：z1191176801
-
The production of this book required the efforts of many people, but two in particular deserve to be singled out for their diligent, sustained, and unselfish efforts. Sally Stickney, the book s principal editor, navigated me through that minefield called the English language and contributed greatly to the book s readability. Marc Young, whose talents as a technical editor are nothing short of amazing, was relentless in Tracking down bugs, testing sample code, and verifying facts. Sally, Marc: This book is immeasurably better because of you. Thanks.
標簽：
production
particular
required
efforts
上傳時間：
2016-07-15
上傳用戶：ve3344
-
In this paper we describe a control methodology for
catching a fast moving object with a robot manipulator,
where visual information is employed to track the
trajectory of the target. Sensing, planning and control
are performed in real-time to cope with possible
unpredictable trajectory changes of the moving target,
and prediction techniques are adopted to compensate the
time delays introduced by visual processing and by the
robot controller. A simple but reliable model of the
robot controller has been taken into account in the
control architecture for improving the performance of the
system. Experimental results have shown that the robot
system is capable of Tracking and catching an object
moving on a plane at velocities of up to 700 mm/s and
accelerations of up to 1500 mm/s2.
標簽：
methodology
describe
catching
control
上傳時間：
2014-01-12
上傳用戶：qq521
-
Instead of finding the longest common
subsequence, let us try to determine the
length of the LCS.
Then Tracking back to find the LCS.
Consider a1a2…am and b1b2…bn.
Case 1: am=bn. The LCS must contain am,
we have to find the LCS of a1a2…am-1 and
b1b2…bn-1.
Case 2: am≠bn. Wehave to find the LCS of
a1a2…am-1 and b1b2…bn, and a1a2…am and
b b b
b1b2…bn-1
Let A = a1 a2 … am and B = b1 b2 … bn
Let Li j denote the length of the longest i,g g
common subsequence of a1 a2 … ai and b1 b2
… bj.
Li,j = Li-1,j-1 + 1 if ai=bj
max{ L L } a≠b i-1,j, i,j-1 if ai≠j
L0,0 = L0,j = Li,0 = 0 for 1≤i≤m, 1≤j≤n.
標簽：
the
subsequence
determine
Instead
上傳時間：
2013-12-17
上傳用戶：evil
-
This is GPS Matlab findPreambles finds the first preamble occurrence in the bit stream of
each channel. The preamble is verified by check of the spacing between
preambles [6sec] and parity checking of the first two words in a
subframe. At the same time function returns list of channels, that are in
Tracking state and with valid preambles in the nav data stream.
標簽：
findPreambles
occurrence
the
preamble
上傳時間：
2013-12-23
上傳用戶：秦莞爾w
-
Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently Tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D shape of the scene can be reconstructed using these features points using the factorization method developed by Tomasi-Kanade.
標簽：
Recovering
structure
addressed
problem
上傳時間：
2017-04-17
上傳用戶：xiaoxiang
-
Abstract—Stable direct and indirect decentralized adaptive radial basis
neural network controllers are presented for a class of interconnected
nonlinear systems. The feedback and adaptation mechanisms for each
subsystem depend only upon local measurements to provide asymptotic
Tracking of a reference trajectory. Due to the functional approximation
capabilities of radial basis neural networks, the dynamics for each
subsystem are not required to be linear in a set of unknown coeffi cients
as is typically required in decentralized adaptive schemes. In addition,
each subsystem is able to adaptively compensate for disturbances and
interconnections with unknown bounds.
標簽：
decentralized
controllers
Abstract
adaptive
上傳時間：
2017-08-17
上傳用戶：gdgzhym
