<button id="cg88g"></button> Infrared and Visible Image Fusion for Face Recognition
標簽： Recognition Infrared Visible Fusion
上傳時間： 2013-11-30
上傳用戶：mhp0114
Algorithms for the estimation of a channel whose impulse response is characterized by a large number of zero tap coefficients are developed and compared.
標簽： characterized Algorithms estimation response
上傳時間： 2013-12-26
上傳用戶：manking0408
Schematic for using Infrared as a data link
標簽： Schematic Infrared using data
上傳時間： 2013-12-26
上傳用戶：225588
Very good article about color and texture descriptions for CBIR.
標簽： descriptions article texture about
上傳時間： 2013-12-23
上傳用戶：gdgzhym
SimpliciTI™ -1.0.4.exe for CC2430 SimpliciTI is a simple low-power RF network protocol aimed at small (<256) RF networks. Such networks typically contain battery operated devices which require long battery life, low data rate and low duty cycle and have a limited number of nodes talking directly to each other or through an access point or range extenders. Access point and range extenders are not required but provide extra functionality such as store and forward messages. With SimpliciTI the MCU resource requirements are minimal which results in the low system cost.
標簽： SimpliciTI low-power protocol network
上傳時間： 2016-05-21
上傳用戶：R50974
CadoDraw控件幫助CadoDraw for C++Builder is a development tool for creating graphical user interfaces.
標簽： CadoDraw development interfaces for
上傳時間： 2016-06-10
上傳用戶：dapangxie
This transport driver for BlueDrekar middleware is a reference implementation of the Bluetooth Host Controller Interface (HCI) UART transport layer. The source code is compiled and run in linux enviroment.
標簽： implementation BlueDrekar middleware Bluetooth
上傳時間： 2016-06-13
上傳用戶：www240697738
VWAP image analysis for stock system
標簽： analysis system image stock
上傳時間： 2014-01-22
上傳用戶：lz4v4
GCC source code for do it yoursel a avr programer and jtagice debuger.
標簽： programer debuger jtagice yoursel
上傳時間： 2013-12-19
上傳用戶：84425894
Visual tracking is one of the key components for robots to accomplish a given task in a dynamic environment, especially when independently moving objects are included. This paper proposes an extension of Adaptive Visual Servoing (hereafter, AVS) for unknown moving object tracking. The method utilizes binocular stereo vision, but does not need the knowledge of camera parameters. Only one assumption is that the system need stationary references in the both images by which the system can predict the motion of unknown moving objects. The basic ideas how we extended the AVS method such that it can track unknown moving objects are given and formalized into a new AVS system. The experimental results with proposed control architecture are shown and a discussion is given.
標簽： components accomplish tracking dynamic
上傳時間： 2013-12-11
上傳用戶：lizhen9880
