Access OpenCV headers and samples for #Delphi which contain 2D and 3D feature toolkits, Egomotion estimation, Facial…

Originally shared by Embarcadero Technologies

Access OpenCV headers and samples for which contain 2D and 3D feature toolkits, Egomotion estimation, Facial recognition system, Gesture recognition, Human–computer interaction (HCI), Mobile robotics, Motion understanding, Object identification, Segmentation and recognition, Stereopsis stereo vision: depth perception from 2 cameras, Structure from motion (SFM), Motion tracking, and Augmented reality. OpenCV also includes a statistical machine learning library with things like Boosting (meta-algorithm), Decision tree learning, Gradient boosting trees, Expectation-maximization algorithm, k-nearest neighbor algorithm, Naive Bayes classifier, Artificial neural networks, Random forest, Support vector machine (SVM).

.>>> http://embt.co/2edXa7G

8 thoughts on “Access OpenCV headers and samples for #Delphi which contain 2D and 3D feature toolkits, Egomotion estimation, Facial…


  1. Has anybody used this yet? We’ve got a few OpenCV functions in our companies’ programs, but they were written by a coworker who left and I haven’t looked into them too closely yet.


    I would mostly be interested in a Delphi example for object and/or face recognition, including how to teach the engine.


  2. Sadly, there is no translation of 3.0 or 3.1 headers. Author wrote in opencv_classes300 issue (in Russian) that he began translation, but had not finished due to a lack of time.


  3. Thomas Mueller I think g+ servers are out of sync right now. There are posts fe. which are 404 under the new layout and working fine in classic mode.


  4. I’ve been using this for months now for basic image processing operations (gaussian smoothing, unsharp masking etc..) and it works great. I could not get their implementation of CLAHE to work though and ended up writing my own front-end for that.

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