?> require_once "php/Beautifier/Init.php"; global $BEAUT_PATH; require_once "$BEAUT_PATH/HFile/HFile_cpp.php"; require_once "$BEAUT_PATH/Output/Output_HTML.php"; $highlighter = new Core(new HFile_cpp(), new Output_HTML())?>
longbar("LTILIB tricks","") ?> menu_trictrac() ?>Some tricks and hints for using LTI-Lib at Montefiore. LTI-Lib is an object oriented library with algorithms and data structures frequently used in image processing and computer vision. It was developed at the RWTH-Aachen University as a part of many research projects on computer vision dealing with robotics, object recognition, sign language, and gesture recognition. It provides an object oriented C++ library that includes fast algorithms, which can be used in real applications.
".@$highlighter->highlight_text(" #include \"VideoClient.h\" /* Declare the videoClient */ VideoClient vc(true); /* Open it */ vc.open(0,0); /* Define a LTI-Lib image*/ image img; /* Loop over the frames */ for (;;) { /* Get the pointer to the image data in shared memory */ image_ptr = (rgbPixel *)vc.getFrameBuffer(); /* Associates img to the data from image_ptr */ img.useExternData(vc.getFrameHeight(),vc.getFrameWidth(),image_ptr); /* * Your processing goes here * ... */ /* Asks for next frame and blocks it */ vc.nextFrame(true,true,true,false); } "); $mailinglist = "Whenever you are facing a problem, you have a lot of solutions to help you :
svideod-mpeg_play -k 0 -a toto.mpeg & svideod-mpeg_play -k 1 -a tata.mpeg &Then the code that reads the images could be:
".@$highlighter->highlight_text(" lti::image img1, img2; lti::rgbPixel *image_ptr1,*image_ptr2; // Declare the videoClients VideoClient vc1(true),vc2(true); // Open them, second argument is the shm key vc1.open(0,0); vc2.open(0,1); viewer v1,v2; for (;;){ // Get the pointer to the image data in shared memory image_ptr1 = (lti::rgbPixel *)vc1.getFrameBuffer(); image_ptr2 = (lti::rgbPixel *)vc2.getFrameBuffer(); // Associates img to the data from image_ptr img1.useExternData(vc1.getFrameHeight(),vc1.getFrameWidth(),image_ptr1); img2.useExternData(vc2.getFrameHeight(),vc2.getFrameWidth(),image_ptr2); // Visualize v1.show(img1); v2.show(img2); // Asks for next frame and blocks it vc1.nextFrame(true,true,true,false); vc2.nextFrame(true,true,true,false); }"); $tmpvar4 = " First, install the Bayesian Filtering Library ."; $tmpvar6 = "For users who work with the LTI-Lib on Windows platforms might like to take a look at Impresario . This is a small Rapid Prototyping System which supports the development and evaluation of simple image processing systems and incorporates the LTI-Lib into an extendable graphical user interface.It has been developped at RTWH. "; ?> listel_ltilib("Very Useful Links",$mailinglist); ?>
Here is a small program that implements a very naive color histogram tracker with particle filter.