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 #Delphi 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

#Embarcadero

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.

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  2. 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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