First of all, the OpenCV of the PCL, the two are very interlinked, as in each programming language, if you are proficient in one, then let you learn another programming language, I think you will soon get started. vision and laser scanning fusion, robot vision, better pattern recognition algorithm, performance optimization Endless (IPP,GPU,OMP), perceptual computing, cognitive computing, deep learning applications and so on.
- 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. (The new features proposed in 12 were perfected in 13.) It is said to be a very beautiful algorithm, better than sift surf results, PCL library has introduced the latter two, this should consider joining)
- Smart Segmentation and Edge-aware filters by Vitaly Lyudvichenko, Yuri Gitman, Alexander Shishkov and Alexander Mordvintse V
- Car detection using Waldboost, ACF by Vlad Shakhuro and Nikita Manovich
- TLD Tracker and several common-use optimization algorithms by Alex Leontiev (that is, the ultimate pattern of image recognition, that video)
- Matlab bindings by Hilton Bristow, with support from Mathworks.
- greatly extended Python bindings, including Python 3 Support , and several Opencv+python tutorials by Alexander Mordvintsev, Abid Rahman and others. (Python has long wanted to learn, AI)
- 3D visualization using VTK by Ozan Tonkal and Anatoly Baksheev. (This is the PCL housekeeping skills, 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 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
The development of PCL Library from the perspective of OpenCV3.0 new features
