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从OpenCV3.0新特性 看PCL库的发展

时间:2015-04-16 10:23:04      阅读:154      评论:0      收藏:0      [点我收藏+]

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首先说一点,PCL之OpenCV,两者之间是很相通的,就如各个编程语言,你若精通一门,则让你去学另外一种编程语言,我想你会很快上手的。 视觉与激光扫描的融合,机器人视觉,更好的模式识别算法,性能优化无止境(IPP,GPU,OMP),感知计算,认知计算,深度学习的应用等等。

  • Text detection and recognition by Lluis Gomez
  • HDR by Fedor Morozov and Alexander Shishkov
  • KAZE/A-KAZE by Eugene Khvedchenya, the algorithm author Pablo Alcantarilla and some improvements by F. Morozov.(12年提出的新特征,13年完善。据说也是一个很漂亮的算法,比sift surf 结果要好,pcl库已经引入了后两者,这个应该会考虑加入)
  • Smart segmentation and edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintsev
  • Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich
  • TLD tracker and several common-use optimization algorithms by Alex Leontiev(就是图像识别的究极模式那个视频)
  • Matlab bindings by Hilton Bristow, with support from Mathworks.
  • Greatly extended Python bindings, including Python 3support, and several OpenCV+Python tutorials by Alexander Mordvintsev, Abid Rahman and others.(Python很早就想学习了,ai)
  • 3D Visualization using VTK by Ozan Tonkal and Anatoly Baksheev.(这是PCL的看家本领,so easy)
  • RGBD module by Vincent Rabaud
  • Line Segment Detector by Daniel Angelov
  • Many useful Computational Photography algorithms by Siddharth Kherada
  • Shape descriptors, matching and morphing shapes (shape module)by Juan Manuel Perez Rua and Ilya Lysenkov
  • Long-term tracking + saliency-based improvements (tracking module) by Antonella Cascitelli and Francesco Puja
  • Another good pose estimation algorithm and the tutorial on pose estimation by Edgar Riba and Alexander Shishkov
  • Line descriptors and matchers by Biagio Montesano and Manuele Tambourin
  • Myriads of improvements in various parts of the library by Steven Puttemans; thank you a lot, Steven!
  • Several NEON optimizations by Adrian Stratulat, Cody Rigney, Alexander Petrikov, Yury Gorbachev and others.
  • Fast foreach loop over cv::Mat by Kazuki Matsuda
  • Image alignment (ECC algorithm) by Georgios Evangelidis
  • GDAL image support by Marvin Smith
  • RGBD module by Vincent Rabaud
  • Fisheye camera model by Ilya Krylov
  • OSX framework build script by Eugene Khvedchenya
  • Multiple FLANN improvements by Pierre-Emmanuel Viel
  • Improved WinRT support by Gregory Morse
  • Latent SVM Cascade by Evgeniy Kozhinov and NNSU team (awaiting integration)
  • Logistic regression by Rahul Kavi
  • Five-point pose estimation algorithm by Bo Li


从OpenCV3.0新特性 看PCL库的发展

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原文地址:http://blog.csdn.net/zkl99999/article/details/45070917

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