</head>
<body>
+
+<h2>2.1</h2>
+<p class="Blurb"><i>(April, 2010)</i></p>
+
+<pre>
+OpenCV 2.1 is basically a stabilized OpenCV 2.0, yet there are a few new features.
+
+>>> General modifications
+
+ - SVN repository has been migrated from SourceForge to https://code.ros.org/svn/opencv.
+ The bug tracker has been moved to https://code.ros.org/trac/opencv/.
+ And we also have OpenCV twitter! http://twitter.com/opencvlibrary
+
+ - The whole OpenCV is now using exceptions instead of the old libc-style mechanism.
+ That is, instead of checking error code with cvGetErrStatus() (which currently always returns 0)
+ you can now just call OpenCV functions inside C++ try-catch statements,
+ cv::Exception is now derived from std::exception.
+
+ - OpenCV does not support autotools-based build scripts,
+ CMake (www.cmake.org) is the only way to build OpenCV on any OS.
+ See http://opencv.willowgarage.com/wiki/InstallGuide.
+
+ - All the parallel loops in OpenCV have been converted from OpenMP
+ to Intel TBB (http://www.threadingbuildingblocks.org/). Thus parallel version of OpenCV
+ can now be built using MSVC 2008 Express Edition or using earlier than 4.2 versions of GCC.
+
+ - SWIG-based Python wrappers are still included,
+ but they are not built by default and it's generally preferable to use the new wrappers.
+ The python samples have been rewritten by James Bowman to use the new-style Python wrappers,
+ which have been also created by James.
+
+ - OpenCV can now be built and run in 64-bit mode on MacOSX 10.6 and Windows (see HighGUI and known problems below).
+ On Windows both MSVC 2008 and mingw64 are known to work.
+
+ - In theory OpenCV is now able to determine the host CPU on-fly and make use of SSE/SSE2/... instructions,
+ if they are available. That is, it should be more safe to use WITH_SSE* flags in CMake.
+ However, if you want maximum portability, it's recommended to turn on just WITH_SSE and WITH_SSE2
+ and leave other SSE* turned off, as we found that using WITH_SSE3, WITH_SSSE3 and WITH_SSE4_1 can yield
+ the code incompatible with Intel's pre-Penryn or AMD chips.
+
+>>> New functionality, features:
+
+ - cxcore, cv, cvaux:
+
+ * Grabcut (http://en.wikipedia.org/wiki/GrabCut) image segmentation algorithm has been implemented.
+ See opencv/samples/c/grabcut.cpp
+
+ * new improved version of one-way descriptor is added. See opencv/samples/c/one_way_sample.cpp
+
+ * modified version of H. Hirschmuller semi-global stereo matching algorithm that we call SGBM
+ (semi-global block matching) has been created. It is much faster than Kolmogorov's graph
+ cuts-based algorithm and yet it's usually better than the block matching StereoBM algorithm.
+ See opencv/samples/c/stereo_matching.cpp.
+
+ * existing StereoBM stereo correspondence algorithm by K. Konolige was noticeably improved:
+ added the optional left-right consistency check and speckle filtering,
+ improved performance (by ~20%).
+
+ * User can now control the image areas visible after the stereo rectification
+ (see the extended stereoRectify/cvStereoRectify), and also limit the region
+ where the disparity is computed (see CvStereoBMState::roi1, roi2; getValidDisparityROI).
+
+ * Mixture-of-Gaussian based background subtraction algorithm has been rewritten for better performance
+ and better accuracy. Alternative C++ interface BackgroundSubtractor has been provided,
+ along with the possibility to use the trained background model to segment the foreground
+ without updating the model. See opencv/samples/c/bgfg_segm.cpp.
+
+ - highgui:
+
+ * MacOSX: OpenCV now includes Cocoa and QTKit backends, in addition to Carbon and Quicktime.
+ Therefore you can build OpenCV as 64-bit library. Thanks to Andre Cohen and Nicolas Butko, which components
+
+ Note however that the backend are now in the alpha state, they can crash or leak memory,
+ so for anything more serious than quick experiments you may prefer to use Carbon and Quicktime.
+ To do that, pass USE_CARBON=ON and USE_QUICKTIME=ON to CMake and build OpenCV in 32-bit mode
+ (i.e. select i386 architecture in Xcode).
+
+ * Windows. OpenCV can now be built in 64-bit mode with MSVC 2008 and also mingw64.
+
+ * Fullscreen has been added (thanks to Yannick Verdie).
+ Call cvSetWindowProperty(window_name, CV_WINDOW_FULLSCREEN, 1) to make the particular window
+ to fill the whole screen. This feature is not supported in the Cocoa bindings yet.
+
+ * gstreamer backend has been improved a lot (thanks to Stefano Fabri)
+
+>>> New tests:
+
+ - A few dozens of new tests have been written and many existing tests have been extended
+ to verify OpenCV correctness thoroughly. As a result, we brought the test coverage from
+ rather mediocre numbers to pretty impressive ones (especially for cxcore and cv)!
+
+ Module OpenCV 2.0 coverage OpenCV 2.1
+ (functions/conditions) (functions/conditions)
+ cxcore 65/54 91/73
+ cv 52/46 80/68
+ ml 66/47 73/52
+ highgui 17/3 54/27
+ cvaux 0/0 5/12
+
+ - Many new regression tests have been written in Python that check both OpenCV and the new-style bindings.
+
+ - The test data moved to the separate repository: https://code.ros.org/svn/opencv/trunk/opencv_extra/testdata.
+ And it is not included into the package, thus some tests from the cvtest and mltest will report about the missing data.
+ You can download the directory to your hard drive and run cvtest like:
+ ./cvtest -d <path_to_opencv_extra>/testdata/cv
+ ./mltest -d <path_to_opencv_extra>/testdata/ml
+
+ - The test engine has been improved:
+ added flags -tn, -seed, -r
+ the detailed information about failed tests is displayed right in the console.
+
+>>> Bug fixes:
+
+ - about 200 bugs have been fixed. For the list of closed and still open bugs, please look at
+ https://code.ros.org/trac/opencv/report and
+ http://sourceforge.net/tracker/?group_id=22870&atid=376677.
+
+>>> Known problems/limitations.
+
+ - there are some sporadic test failures on different platforms.
+ Most probably they are caused by some very special test cases
+ (that are usually generated randomly on each test run) and the test cases
+ are not properly handled by the functions or by the tests.
+ Some of the tests have been reproduced and reported here:
+
+ https://code.ros.org/trac/opencv/ticket/29
+ https://code.ros.org/trac/opencv/ticket/113
+ https://code.ros.org/trac/opencv/ticket/114
+
+ - the new Python bindings do not include interface for the new C++ functionality and MLL.
+ this is going to be addressed in some special intermediate OpenCV release
+
+ - documentation is also incomplete at the moment and there are occasional formatting,
+ grammar and semantical errors.
+ We continue to improve it on a regular basis. Please, check the up-to-date online
+ documentation at:
+
+ http://opencv.willowgarage.com/documentation/c/index.html (C)
+ http://opencv.willowgarage.com/documentation/cpp/index.html (C++)
+ http://opencv.willowgarage.com/documentation/python/index.html (Python)
+
+ - please also check the list of open bugs at
+ https://code.ros.org/trac/opencv/report and
+ http://sourceforge.net/tracker/?group_id=22870&atid=376677.
+
+</pre>
+
+<hr><h2>2.0 beta</h2>
+<p class="Blurb"><i>(September, 2009)</i></p>
+
+<pre>
+>>> New functionality, features: <<<
+
+ - General:
+ * The brand-new C++ interface for most of OpenCV functionality
+ (cxcore, cv, highgui) has been introduced.
+ Generally it means that you will need to do less coding to achieve the same results;
+ it brings automatic memory management and many other advantages.
+ See the C++ Reference section in opencv/doc/opencv.pdf and opencv/include/opencv/*.hpp.
+ The previous interface is retained and still supported.
+
+ * The source directory structure has been reogranized; now all the external headers are placed
+ in the single directory on all platforms.
+
+ * The primary build system is CMake, http://www.cmake.org (2.6.x is the preferable version).
+ + In Windows package the project files for Visual Studio, makefiles for MSVC,
+ Borland C++ or MinGW are note supplied anymore; please, generate them using CMake.
+
+ + In MacOSX the users can generate project files for Xcode.
+
+ + In Linux and any other platform the users can generate project files for
+ cross-platform IDEs, such as Eclipse or Code Blocks,
+ or makefiles for building OpenCV from a command line.
+
+ * OpenCV repository has been converted to Subversion, hosted at SourceForge:
+ http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary
+ where the very latest snapshot is at
+ http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/trunk,
+ and the more or less stable version can be found at
+ http://opencvlibrary.svn.sourceforge.net/svnroot/opencvlibrary/tags/latest_tested_snapshot
+
+ - CXCORE, CV, CVAUX:
+
+ * CXCORE now uses Lapack (CLapack 3.1.1.1 in OpenCV 2.0) in its various linear algebra functions
+ (such as solve, invert, SVD, determinant, eigen etc.) and the corresponding old-style functions
+ (cvSolve, cvInvert etc.)
+
+ * Lots of new feature and object detectors and descriptors have been added
+ (there is no documentation on them yet), see cv.hpp and cvaux.hpp:
+
+ + FAST - the fast corner detector, submitted by Edward Rosten
+
+ + MSER - maximally stable extremal regions, submitted by Liu Liu
+
+ + LDetector - fast circle-based feature detector by V. Lepetit (a.k.a. YAPE)
+
+ + Fern-based point classifier and the planar object detector -
+ based on the works by M. Ozuysal and V. Lepetit
+
+ + One-way descriptor - a powerful PCA-based feature descriptor,
+ (S. Hinterstoisser, O. Kutter, N. Navab, P. Fua, and V. Lepetit,
+ "Real-Time Learning of Accurate Patch Rectification").
+ Contributed by Victor Eruhimov
+
+ + Spin Images 3D feature descriptor - based on the A. Johnson PhD thesis;
+ implemented by Anatoly Baksheev
+
+ + Self-similarity features - contributed by Rainer Leinhart
+
+ + HOG people and object detector - the reimplementation of Navneet Dalal framework
+ (http://pascal.inrialpes.fr/soft/olt/). Currently, only the detection part is ported,
+ but it is fully compatible with the original training code.
+ See cvaux.hpp and opencv/samples/c/peopledetect.cpp.
+
+ + Extended variant of the Haar feature-based object detector - implemented by Maria Dimashova.
+ It now supports Haar features and LBPs (local binary patterns);
+ other features can be more or less easily added
+
+ + Adaptive skin detector and the fuzzy meanshift tracker - contributed by Farhad Dadgostar,
+ see cvaux.hpp and opencv/samples/c/adaptiveskindetector.cpp
+
+ * The new traincascade application complementing the new-style HAAR+LBP object detector has been added.
+ See opencv/apps/traincascade.
+
+ * The powerful library for approximate nearest neighbor search FLANN by Marius Muja
+ is now shipped with OpenCV, and the OpenCV-style interface to the library
+ is included into cxcore. See cxcore.hpp and opencv/samples/c/find_obj.cpp
+
+ * The bundle adjustment engine has been contributed by PhaseSpace; see cvaux.hpp
+
+ * Added dense optical flow estimation function (based on the paper
+ "Two-Frame Motion Estimation Based on Polynomial Expansion" by G. Farnerback).
+ See cv::calcOpticalFlowFarneback and the C++ documentation
+
+ * Image warping operations (resize, remap, warpAffine, warpPerspective)
+ now all support bicubic and Lanczos interpolation.
+
+ * Most of the new linear and non-linear filtering operations (filter2D, sepFilter2D, erode, dilate ...)
+ support arbitrary border modes and can use the valid image pixels outside of the ROI
+ (i.e. the ROIs are not "isolated" anymore), see the C++ documentation.
+
+ * The data can now be saved to and loaded from GZIP-compressed XML/YML files, e.g.:
+ cvSave("a.xml.gz", my_huge_matrix);
+
+ - MLL:
+ * Added the Extremely Random Trees that train super-fast,
+ comparing to Boosting or Random Trees (by Maria Dimashova).
+
+ * The decision tree engine and based on it classes
+ (Decision Tree itself, Boost, Random Trees)
+ have been reworked and now:
+ + they consume much less memory (up to 200% savings)
+ + the training can be run in multiple threads (when OpenCV is built with OpenMP support)
+ + the boosting classification on numerical variables is especially
+ fast because of the specialized low-overhead branch.
+
+ * mltest has been added. While far from being complete,
+ it contains correctness tests for some of the MLL classes.
+
+ - HighGUI:
+ * [Linux] The support for stereo cameras (currently Videre only) has been added.
+ There is now uniform interface for capturing video from two-, three- ... n-head cameras.
+
+ * Images can now be compressed to or decompressed from buffers in the memory,
+ see the C++ HighGUI reference manual
+
+ - Documentation:
+ * The reference manual has been converted from HTML to LaTeX (by James Bowman and Caroline Pantofaru),
+ so there is now:
+ + opencv.pdf for reading offline
+ + and the online up-to-date documentation
+ (as the result of LaTeX->Sphinx->HTML conversion) available at
+ http://opencv.willowgarage.com/documentation/index.html
+
+ - Samples, misc.:
+ * Better eye detector has been contributed by Shiqi Yu,
+ see opencv/data/haarcascades/*[lefteye|righteye]*.xml
+ * sample LBP cascade for the frontal face detection
+ has been created by Maria Dimashova,
+ see opencv/data/lbpcascades/lbpcascade_frontalface.xml
+ * Several high-quality body parts and facial feature detectors
+ have been contributed by Modesto Castrillon-Santana,
+ see opencv/data/haarcascades/haarcascade_mcs*.xml
+
+>>> Optimization:
+ * Many of the basic functions and the image processing operations
+ (like arithmetic operations, geometric image transformations, filtering etc.)
+ have got SSE2 optimization, so they are several times faster.
+
+ - The model of IPP support has been changed. Now IPP is supposed to be
+ detected by CMake at the configuration stage and linked against OpenCV.
+ (In the beta it is not implemented yet though).
+
+ * PNG encoder performance improved by factor of 4 by tuning the parameters
+
+>>> Bug fixes: <<<
+ TBD
+ (see http://sourceforge.net/tracker/?group_id=22870&atid=376677 of the list
+ of the closed and still opened bugs).
+
+ Many thanks to everybody who submitted bug reports and/or provided the patches!
+
+>>> Known issues:
+ * configure+autotools based build is currently broken.
+ Please, use CMake.
+ * OpenCV bug tracker at SF still lists about 150 open bugs.
+ Some of them may be actually fixed already, and most of the remaining bugs
+ are going to be fixed by OpenCV 2.0 gold.
+ * IPP is not supported. As the new OpenCV includes a lot of SSE2 code,
+ it may be not such a serious problem, though.
+ The support (at least for most important functions that do not have
+ SSE2 optimization) will be returned in 2.0 gold.
+ * The documentation has been updated and improved a lot, but it still
+ needs quite a bit of work:
+ - some of the new functionality in cvaux is not described yet.
+ - the bibliography part is broken
+ - there are quite a few known bugs and typos there
+ - many of the hyperlinks are not working.
+ * The existing tests partly cover the new functionality
+ (via the old backward-compatibility OpenCV 1.x API), but the coverage is
+ not sufficient of course.
+ * The new-style Python interface is not included yet
+
+ Many of the problems will be addressed in 2.0 gold.
+ If you have found some specific problem, please, put the record to the bug tracker:
+ http://sourceforge.net/tracker/?group_id=22870
+ Better if the bug reports will include a small code sample in C++/python +
+ all the necessary data files needed to reproduce the problem.
+</pre>
+
+
<h2>2.0</h2>
<p class="Blurb"><i>(September, 2009)</i></p>
projects / opencv.git / commitdiff