During the past four years, most of our research activities have been focused on image but also video and 3-D objects processing for security applications (watermarking and biometrics) and communications (talking heads, interfaces), with a special emphasis on facial images. More about our work can be found at http://www.eurecom.fr/~image. Our research activities are conducted with the backing of several industrials, in particular France Telecom Research and STMicroelectronics. For the past few years, we have had a regular scientific collaboration on Fractal Image Coding, Watermarking and Biometrics with the University of California, Santa Barbara (UCSB), in particular with Prof. K. Ros
标签： activities research focused During
上传时间： 2014-11-26
上传用户：123啊
This file is a function under matlab which allow to read, play and plot audio signals from wav file. We can also extract the sampling frequency and coding bit number
标签： file function signals matlab
上传时间： 2014-01-25
上传用户：diets
Objectives The purpose of this notebook is to give you a brief introduction to the DiscreteWavelets Toolbox and show you how to use it to load images. Some basic image manipulation is illustrated as well. You will also learn how to use measures and tools such as cumulative energy, entropy, PSNR, and Huffman coding. Help on the DiscreteWavelets Toolbox Help for the toolbox is available by clicking on Help and then Product Help (or press F1) and then clicking on the DiscreteWavelets Toolbox. Several demos and examples are available as well by clicking on the Demos tab on the Help menu. Image Basics The DiscreteWavelets Toolbox comes with 18 grayscale images and 9 color images for you to use. There are three functions available to tell you more about these images. The first function is called |ImageList|. This function can tell you the names and sizes of the digital images in the Toolbox.
标签： introduction DiscreteWav Objectives notebook
上传时间： 2017-06-30
上传用户：康郎
The emphasis of this book is on real-time application of Synopsys tools, used to combat various problems seen at VDSM geometries. Readers will be exposed to an effective design methodology for handling complex, submicron ASIC designs. Significance is placed on HDL coding styles, synthesis and optimization, dynamic simulation, formal verification, DFT scan insertion, links to layout, physical synthesis, and static timing analysis. At each step, problems related to each phase of the design flow are identified, with solutions and work-around described in detail. In addition, crucial issues related to layout, which includes clock tree synthesis and back-end integration (links to layout) are also discussed at length. Furthermore, the book contains in-depth discussions on the basics of Synopsys technology libraries and HDL coding styles, targeted towards optimal synthesis solution.
标签： application real-time Synopsys emphasis
上传时间： 2017-07-05
上传用户：waitingfy
Designing a synchronous finite state machine (FSM) is a common task for a digital logic engineer. This paper discusses a variety of issues regarding FSM design using Synopsys Design Compiler. Verilog and VHDL coding styles are presented, and different methodologies are compared using real-world examples.
标签： synchronous Designing engineer digital
上传时间： 2014-01-17
上传用户：dreamboy36
un the configuration script ---------------------------- In the CGIs directory there is a configure.s and a configure.bat file. Run this file after you ve moved the CGIs directory to it s desired location. The configure script will create a file nammed apache.conf. Append this file the the httpd.conf file. LINUX: [prompt]$ ./configure.s [prompt]$ cat apache.conf >> /etc/httpd/conf/httpd.conf Note: you may need to set the executable flag on the script chmod 755 configure.s WINDOWS: prompt> configure.bat Copy the contents of apache.conf to httpd.conf
标签： configuration the directory config
上传时间： 2014-01-25
上传用户：heart520beat
Solve the 8-puzzle problem using A * algorithme. Input: Program reads start state and goal state and heuristic (N or S) from EightPuzzle.INP file.0 representing blank. There are 2 Heuristic: 1. N: Number of misplaced tiles 2. S: Sum of Manhattan distance of current location and target location. Format: The first line write type of heuristic (N or S). Next is the status of departing and landing status. Between 2 states of 1 line blank. See examples EightPuzzle.INP
标签： state algorithme Program problem
上传时间： 2017-08-12
上传用户：jjj0202
VideoMan (Video Manager) is an open-source C++ library that helps you developing video based applications. We created VideoMan to increase our productivity developing computer vision applications, but it can be used in many other ways. With VideoMan is very easy and fast to initialize any kind of video input like webcams, video files, frame grabbers, IEEE 1394 cameras and so on. You can initialize multiple inputs at the same time and show them in the screen. Also, you can show the results of the processing steps of your computer vision algorithm (extracted edges, back projections, detected blobs...) This way you can see the results of what are you coding, checking the results of your algorithm steps. Moreover, the implemented visualization scheme make easier to combine computer graphics with video, for example to show a 3d model on top of video for augmented reality applications.
标签： open-source developing VideoMan Manager
上传时间： 2014-01-21
上传用户：chongcongying
Analysis of GPS data frame The design of the following four main data collection format: GPGGA (location information), GPRMC (Recommended Minimum location information), GPVTG (ground speed information), PGRME (forecast error message)
标签： data collection following Analysis
上传时间： 2017-09-25
上传用户：onewq
The object detector described below has been initially proposed by P.F. Felzenszwalb in [Felzenszwalb2010]. It is based on a Dalal-Triggs detector that uses a single filter on histogram of oriented gradients (HOG) features to represent an object category. This detector uses a sliding window approach, where a filter is applied at all positions and scales of an image. The first innovation is enriching the Dalal-Triggs model using a star-structured part-based model defined by a “root” filter (analogous to the Dalal-Triggs filter) plus a set of parts filters and associated deformation models. The score of one of star models at a particular position and scale within an image is the score of the root filter at the given location plus the sum over parts of the maximum, over placements of that part, of the part filter score on its location minus a deformation cost easuring the deviation of the part from its ideal location relative to the root. Both root and part filter scores are defined by the dot product between a filter (a set of weights) and a subwindow of a feature pyramid computed from the input image. Another improvement is a representation of the class of models by a mixture of star models. The score of a mixture model at a particular position and scale is the maximum over components, of the score of that component model at the given location.
标签： 计算机视觉
上传时间： 2015-03-15
上传用户：sb_zhang
