Atitit opencv3.0 3.1 3.2 新特性attilax总结

OpenCV 3.1 release is finally ready, right before the XMas holidays. This is the first stabilization update in 3.x series. It shall be reminded that since OpenCV 3.0 we’ve changed the version enumeration scheme, so that 3.1 is the same sort of update to 3.0 as 2.4.1 was to 2.4.0.

2.0.1. Changes

The detailed list of changes since 3.0 can be found at https://github.com/Itseez/opencv/wiki/ChangeLog. Here is the short summary:

· A lot of new functionality has been introduced during Google Summer of Code 2015:

· “Omnidirectional Cameras Calibration and Stereo 3D Reconstruction” – opencv_contrib/ccalib module (Baisheng Lai, Bo Li)

· “Structure From Motion” – opencv_contrib/sfm module (Edgar Riba, Vincent Rabaud)

· “Improved Deformable Part-based Models” – opencv_contrib/dpm module (Jiaolong Xu, Bence Magyar)

· “Real-time Multi-object Tracking using Kernelized Correlation Filter” – opencv_contrib/tracking module (Laksono Kurnianggoro, Fernando J. Iglesias Garcia)

· “Improved and expanded Scene Text Detection” – opencv_contrib/text module (Lluis Gomez, Vadim Pisarevsky)

· “Stereo correspondence improvements” – opencv_contrib/stereo module (Mircea Paul Muresan, Sergei Nosov)

· “Structured-Light System Calibration” – opencv_contrib/structured_light (Roberta Ravanelli, Delia Passalacqua, Stefano Fabri, Claudia Rapuano)

· “Chessboard+ArUco for camera calibration” – opencv_contrib/aruco (Sergio Garrido, Prasanna, Gary Bradski)

· “Implementation of universal interface for deep neural network frameworks” – opencv_contrib/dnn module (Vitaliy Lyudvichenko, Anatoly Baksheev)

· “Recent advances in edge-aware filtering, improved SGBM stereo algorithm” – opencv/calib3d and opencv_contrib/ximgproc (Alexander Bokov, Maksim Shabunin)

· “Improved ICF detector, waldboost implementation” – opencv_contrib/xobjdetect (Vlad Shakhuro, Alexander Bovyrin)

· “Multi-target TLD tracking” – opencv_contrib/tracking module (Vladimir Tyan, Antonella Cascitelli)

· “3D pose estimation using CNNs” – opencv_contrib/cnn_3dobj (Yida Wang, Manuele Tamburrano, Stefano Fabri)

· Many great contributions made by the community, such as:

· Support for HDF5 format

· New/Improved optical flow algorithms

· Multiple new image processing algorithms for filtering, segmentation and feature detection

· Superpixel segmentation

· and much more

· IPPICV is now based on IPP 9.0.1, which should make OpenCV even faster on modern Intel chips

· opencv_contrib modules can now be included into the opencv2.framework for iOS

· Newest operating systems are supported: Windows 10 and OSX 10.11 (Visual Studio 2015 and XCode 7.1.1)

· Interoperability between T-API and OpenCL, OpenGL, DirectX and Video Acceleration API on Linux, as well as Android 5 camera.

· HAL (Hardware Acceleration Layer) module functionality has been moved into corresponding basic modules; the HAL replacement mechanism has been implemented along with the examples

3. 3.2 新特性 2016年12月24日 - OpenCV 3.2.0 发布

OpenCV Change Logs

3.1. version:3.2

December, 2016

Long-awaited update to OpenCV 3.x release series, with tons of improvements and bug fixes. Big thanks to everyone who particpated! If you contributed something but your name is missing, please, let us know.

~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

· Results from 11 GSoC 2016 projects have been submitted to the library, 9 of them have been integrated already, 2 still pending (the numbers below are the id’s of the Pull Requests in opencv or opencv_contrib repository):

· Ambroise Moreau (Delia Passalacqua) – sinusoidal patterns for structured light and phase unwrapping module (711)

· Alexander Bokov (Maksim Shabunin) – DIS optical flow (excellent dense optical flow algorithm that is both significantly better and significantly faster than Farneback’s algorithm – our baseline), and learning-based color constancy algorithms implementation (689, 708, 722, 736, 745, 747)

· Tyan Vladimir (Antonella Cascitelli) – CNN based tracking algorithm (GOTURN) (718, 899)

· Vladislav Samsonov (Ethan Rublee) – PCAFlow and Global Patch Collider algorithms implementation (710, 752)

· João Cartucho (Vincent Rabaud) – Multi-language OpenCV Tutorials in Python, C++ and Java (7041)

· Jiri Horner (Bo Li) – New camera model and parallel processing for stitching pipeline (6933)

· Vitaliy Lyudvichenko (Anatoly Baksheev) – Optimizations and improvements of dnn module (707, 750)

· Iric Wu (Vadim Pisarevsky) – Base64 and JSON support for file storage (6697, 6949, 7088). Use names like `“myfilestorage.xml?base64”` when writing file storage to store big chunks of numerical data in base64-encoded form.

· Edgar Riba (Manuele Tamburrano, Stefano Fabri) – tiny_dnn improvements and integration (720: pending)

· Yida Wang (Manuele Tamburrano, Stefano Fabri) – Quantization and semantic saliency detection with tiny_dnn

· Anguelos Nicolaou (Lluis Gomez) – Word-spotting CNN based algorithm (761: pending)

big thanks to all the pa

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Atitit opencv3.0 3.1 3.2 新特性attilax总结

1. 3.0OpenCV 3 的改动在哪？

1.1. 模块构成该看哪些模块？

2. 3.1新特性 2015-12-21

2.0.1. Changes

3. 3.2 新特性 2016年12月24日 - OpenCV 3.2.0 发布

3.1. version:3.2

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