Hidden Markov Toolkit (HTK) 3.2.1
HTK is a toolkit for use in research into automatic speech recognition and has been developed by the Speech Vision Robotics Group at the Cambridge University Engineering Department (http://svr-www.eng.cam.ac.uk) and Entropic Ltd (http://www.entropic.com).
《多傳感器數(shù)據(jù)融合手冊》
《Handbook of Multisensor Data Fusion》
作者: David L. Hall
定價(jià): USD 199.95
出版社: CRC
出版年: 2001-06-20
簡介 · · · · · ·
Multisensor data fusion is an emerging technology with important applications in both the military and civilian sectors, such as target recognition, Robotics, medical diagnostics, and "smart" buildings. It draws on techniques from wide-ranging disciplines, including artificial intelligence, pattern recognition, and statistical estimation. This handbook is an up-to-date, comprehensive resource for data fusion system designers and researchers. Top experts in the field lead readers from a basic introduction and survey of data fusion technology to advanced mathematics and theory and to some very practical advice for systems implementers.
Surface profile measurement by noncontact optical methods has been extensively studied because of its importance in automated manufacturing, component quality control, medicine, and Robotics. In most of these methods a known periodic pattern,
6自由度puma機(jī)器人仿真程序源碼。This is PUMA3d.M, a 3D Matlab Kinematic model of a Puma robot located in the Robotics lab of Walla Walla University.
The file uses CAD data converted to Matlab using cad2matdemo.m, which is located on the Mathworks central file exchange.
％
％ This file is still being developed, for the latest version check the
％ Mathworks central file exchange.
object recognition using fast adaptive hough transform 快速自適應(yīng)霍夫變換
作者：D.D. Haule. A.S. Malowany
Computer Vision and Robotics Laboratory
Department of Electrical Engineering
McGill University。IEEE 1989的文章，對(duì)指導(dǎo)霍夫變換檢測目標(biāo)的識(shí)別有一定的參考意義
the book provides many solved examples that illustrate the principles involved,
and includes, in addition, two chapters that deal exclusively with applications of
unconstrained and constrained optimization methods to problems in the areas of
pattern recognition, control systems, Robotics, communication systems, and the
design of digital filters. For each application, enough background information
is provided to promote the understanding of the optimization algorithms used
to obtain the desired solutions.
This book is about 3D math, the study of the mathematics behind the geometry of a 3D world. 3D
math is related to computational geometry, which deals with solving geometric problems algorithmically.
3D math and computational geometry have applications in a wide variety of fields that use computers to model or reason about the world in 3D, such as graphics, games, simulation,
Robotics, virtual reality, and cinematography.
This book covers theory and practice in C++.
David Vernon is the Coordinator of the European Network for the Advancement of Artificial Cognitive Systems and he is a Visiting Professor of Cognitive Systems at the University of Genoa. He is also a member of the management team of the RobotCub integrated working on the development of open-source cognitive humanoid robot.
Over the past 27 years, he has held positions at Westinghouse Electric, Trinity College Dublin, the European Commission, the National University of Ireland Maynooth, Science Foundation Ireland, and Etisalat University College.
He has authored two and edited three books on computer vision and has published over eighty papers in the fields of Computer Vision, Robotics, and Cognitive Systems. His research interests include Fourier-based computer vision and enactive approaches to cognition.
He is currently a Professor at Etisalat University College in Sharjah-United Arab Emirates, focusing on Masters programs by research in Computing fields.".[1]
