This approach, we feel, came very close to obtaining an image from the camera OV7620. Before we tried to capture a camera signal, we successfully transferred a test image from the FPGA s onboard RAM modules through RS232 to the PC program. This file do it.
SR-tree is an index structure for high-dimensional nearest neighbor queries，C++ sourcecode. SR-tree outperforms the R*-tree and the SS-tree especially for high-dimensional and non-uniform data which are likely to appear in the actual image / video applications.
Kismet is an 802.11b network sniffer and network dissector. It is capable of sniffing using most wireless cards, automatic network IP block detection via UDP, ARP, and DHCP packets, Cisco equipment lists via Cisco Discovery Protocol, weak cryptographic packet logging, and Ethereal and tcpdump compatible packet dump files. It also includes the ability to plot detected networks and estimated network ranges on downloaded maps or user supplied image files.
Kismet是一個針對IEEE802.11b無線局域網的嗅探和包分析器，支持大多數無線網卡，支持自動檢測UDP、ARP和DHCP的數據包，支持通過CDP協議檢測思科網絡設備，支持加密數據包記錄，采用與Ethereal和Tcpdump兼容的的數據包記錄文件，支持通過用戶提供地圖來檢測和評估無線網絡范圍。
This model is just testing an idea of MIMO, which IEEE802.11n
will have. But I havo not seen the standard, I tried to make
it with 11a. Actually this model would not work in real world,
because the preambles were not designed to solve the MIMO feature.
But this model may be useful to get some idea to start to
design a PHY with MIMO.
Robustnesstochangesinilluminationconditionsaswellas viewing perspectives is an important requirement formany computer vision applications. One of the key fac-ors in enhancing the robustness of dynamic scene analy-sis that of accurate and reliable means for shadow de-ection. Shadowdetectioniscriticalforcorrectobjectde-ection in image sequences. Many algorithms have beenproposed in the literature that deal with shadows. How-ever,acomparativeevaluationoftheexistingapproachesisstill lacking. In this paper, the full range of problems un-derlyingtheshadowdetectionareidenti?edanddiscussed.Weclassifytheproposedsolutionstothisproblemusingaaxonomyoffourmainclasses, calleddeterministicmodeland non-model based and statistical parametric and non-parametric. Novelquantitative(detectionanddiscrimina-ionaccuracy)andqualitativemetrics(sceneandobjectin-dependence,?exibilitytoshadowsituationsandrobustnesso noise) are proposed to evaluate these classes of algo-rithms on a benchmark suite of indoor and outdoor videosequences.
how to extend an OLE DB consumer template class and make it much easier to use in applications. I had also explained how you can utilize the power of C++ exception-handling feature to make your work easier, especially in error handling. It was just a small class in my last article.
